令人惊叹的共形预测

这是关于共形预测、不确定性量化和可靠人工智能的最全面资源中心。

我的课程“应用共形预测”现已在 Maven 平台上开放报名🔥🔥🔥🔥🔥在此报名下一届课程，在此登记对未来课程的兴趣及更多信息

我的新书《应用共形预测：面向真实世界机器学习的可靠不确定性量化》可在 Gumroad 上订购：点击这里

发现终极共形预测资源：一站式且由专家精心整理 🌟 🌟 🌟 🌟 🌟

探索最全面的专业精选共形预测资源集，其中包含顶级教程、视频、书籍、论文、文章、课程、网站、会议以及 Python、R 和 Julia 中的开源库。通过这份包罗万象的指南，发掘隐藏的瑰宝，掌握共形预测的艺术。体验共形预测领域的巅峰之作：由专业人士打造的权威资源。

这一卓越资源是我攻读机器学习博士学位期间的心血结晶，专攻共形预测方向，并在该领域创始人 Vladimir Vovk 教授的指导下完成研究。自 2015 年以来，我一直在精心收集这些宝贵资料；如今博士学业已成（我的学位论文《用于概率预测的机器学习》可在“论文”部分找到），我非常高兴能与全球机器学习社区分享我的专业知识。沉浸于这份经过多年专注与实践打磨而成的专业精选合集之中。

共形预测的概念最早可追溯到柯尔莫哥洛夫在两篇论文中阐述的随机性理论：1) Andrei Kolmogorov (1968). “信息论与概率论的逻辑基础”。IEEE 信息论汇刊 IT-14:662-664；2) Andrei Kolmogorov (1983). “信息论与概率论计算的组合学基础”。俄罗斯数学评论 38(4):29-4。

短短几年内，共形预测便从一个小众领域迅速崛起，得益于学术界知名推动者如 Larry Wasserman 教授等人的不懈努力，实现了指数级增长。它不仅在 ICML2021 和 ICML2022 大会上设立了专门的分会场，还在 NeurIPS2022 大会上由 Emmanuel Candes 教授发表了题为“2022 年的共形预测”的精彩主旨演讲。此外，一年一度的共形预测大会（COPA）也已成功举办了超过 11 年。加入这个快速发展的前沿领域，与志同道合的社区共同进步。

连接并分享共形预测的魅力

我在多个社交媒体平台上积极推广共形预测这一美妙领域（因为它确实太棒了），包括 LinkedIn 和 Twitter。您可以在 ResearchGate 上找到我的所有研究成果，偶尔也会在 Medium 上分享一些来自数据科学一线的见解。诚挚邀请您与我联系，并帮助传播共形预测这一迷人领域的知识。

诚挚邀请您支持与分享：给本项目加星并广而告之

请您为本项目加星🌟，并将其分享给可能感兴趣的朋友。

收录于“令人惊叹的共形预测”中的学术论文条款与条件

引用本项目的学术论文将自动被列入列表；而未引用的论文则可能因违反条款与条件而在任何时候被移除。如果您的论文引用了本项目但仍未出现在列表中，请直接与我联系。

使用本仓库进行学术研究或发表论文时，即表示您同意遵守 CC BY-NC-ND 4.0 许可协议的条款。根据该协议，任何受益于本仓库的学术或研究工作都必须恰当引用本项目。未能正确署名将被视为违反许可协议。引用格式应遵循本仓库中 CITATION.cff 文件所规定的指南，以确保作者和贡献者的权益得到尊重，并使本项目的使用在科学和学术工作中得到应有的认可。

您的支持对于提升人们对共形预测的认知与欣赏至关重要：

Manokhin, Valery. (2022). 令人惊叹的共形预测（v1.0.0）。Zenodo。https://zenodo.org/record/6467205 https://doi.org/10.5281/zenodo.6467205

Bibtex 条目导出 https://zenodo.org/record/6467205/export/hx

@software{manokhin_valery_2022_6467205, author = {Manokhin, Valery}, title = {令人惊叹的共形预测}, month = apr, year = 2022, note = {{"如果您使用‘令人惊叹的共形预测’，请按以下方式引用。"}}, publisher = {Zenodo}, version = {v1.0.0}, doi = {10.5281/zenodo.6467205}, url = {https://doi.org/10.5281/zenodo.6467205} }

---

为什么选择共形预测？

最具影响力和备受赞誉的机器学习研究者之一——Michael I. Jordan 教授：

“共形预测理念就是解决不确定性量化的答案，我认为它是迄今为止最好的方法——简单、通用等等。”（ICML 2021 不确定性量化研讨会）。🔥🔥🔥🔥🔥

另一位极具影响力的统计学教授——Larry Wasserman（卡内基梅隆大学）：

‘因此，共形方法的美妙之处在于它的简单性和通用性。我认为，那些容易被接受、非常通用且易于实现的想法——你能够想象自己在实际应用中使用它们——正是人们选择使用共形预测的原因。’ 🚀🚀🚀🚀🚀

斯坦福大学教授埃曼努埃尔·坎德斯（Emmanuel Candes）——2022年NeurIPS大会主旨演讲。

‘共形推理方法正在学术界和工业界迅速普及。简而言之，这些方法能够在不做出任何关于数据分布的假设的情况下，为未来的观测值提供精确的预测区间，而只需具备独立同分布的数据，并且更一般地说，是可交换的数据即可。’

https://slideslive.com/icml-2021/workshop-on-distributionfree-uncertainty-quantification

令人印象深刻的背书：共形预测在学术界和工业界的日益普及

当来自全球顶尖研究机构的知名教授纷纷表达对共形预测的支持时，这充分说明了其可信度与巨大潜力。

至于工业应用方面，共形预测已经多年来作为微软Azure平台的主要异常检测工具。随着2021至2022年间学术界的指数级增长以及开源库的不断涌现，可以预见，工业界也将迎来类似的广泛应用浪潮。

📢📢 工业界同仁请注意：不确定性量化、概率预测与 forecasting 领域的革命已经到来，并正掀起一股热潮！🔥🔥🔥🔥🔥 携手共形预测，拥抱机器学习的未来。 那么工业界呢？或许有人会问——事实上，共形预测早已在微软Azure中用于其核心的异常检测功能。

目录

• 活动

• 书籍

• 博士与硕士论文

• 视频

• 论文

• 时间序列相关论文

• 异常检测相关论文

• 文章

• Kaggle

• 教程

• 课程

• 演示文稿

• 研究人员

• 网站

• Twitter

• TikTok

• 会议

• Python

• R

• Julia

• 其他语言

• AI平台

• 杂项

• 贡献

活动

1. 应用共形预测课程将于2024年5月开课！ 🔥🔥🔥🔥🔥
2. Kaggle竞赛——概率预测I：气温 🔥🔥🔥🔥🔥

书籍

1. 应用共形预测：面向现实世界的机器学习可靠不确定性量化（Python版） 🔥🔥🔥🔥🔥🚀🚀🚀🚀🚀
2. 应用共形预测实用指南：学习并将其最佳不确定性框架应用于你的行业实践 作者：瓦列里·马诺金（2024年）🔥🔥🔥🔥🔥 亚马逊美国 🇺🇸, 亚马逊英国 🇬🇧, 亚马逊印度 🇮🇳, 亚马逊德国 🇩🇪, 亚马逊法国 🇫🇷, 亚马逊西班牙 🇪🇸, 亚马逊加拿大 🇨🇦, 亚马逊日本 🇯🇵 DMK出版社 俄罗斯 🇷🇺
3. 随机世界中的算法学习 作者：弗拉基米尔·沃夫克、亚历克斯·甘默曼及格伦·谢弗（2022年）。第二版。🔥🔥🔥🔥🔥 这是一本理论性强、数学内容繁重的优秀著作，但缺乏实际应用和代码示例。
4. 用于可靠机器学习的共形预测 作者：维尼特·巴拉苏布拉马尼安、沈尚阳、弗拉基米尔·沃夫克（2014年）。这是一本较旧的书，内容已相当过时，且不含代码。

学位论文

1. 《用于概率预测的机器学习》（博士论文），作者：瓦列里·马诺金（英国皇家霍洛威大学，2022年）🔥🔥🔥🔥🔥（仅在ResearchGate上阅读量已超过6000次）
2. 《针对大型、不平衡且稀疏的化学信息学数据的校准型与文氏预测器》（博士论文），作者：保罗·托卡切利（英国皇家霍洛威大学，2021年）
3. 《用于概率预测的竞争性在线算法》（博士论文），作者：赖莎·扎姆蒂罗娃（英国皇家霍洛威大学，2020年）
4. 《在线压缩模型下的校准型预测与检验》（博士论文），作者：瓦伦蒂娜·费多罗娃（英国皇家霍洛威大学，2014年）🔥🔥🔥🔥🔥
5. 《自适应在线学习》（博士论文），作者：德米特里·阿达姆斯基（英国皇家霍洛威大学，2013年）
6. 《黑盒安全：通过机器学习测量黑盒的信息泄露》（博士论文），作者：乔瓦尼·切鲁宾（英国皇家霍洛威大学，2019年）🔥🔥🔥🔥🔥
7. 《具有有效性保证的小规模与大规模概率分类器》（博士论文），作者：伊万·佩特耶（英国皇家霍洛威大学，2019年）🔥🔥🔥🔥🔥
8. 《置信机与文氏机及其在蛋白质组学中的应用》（博士论文），作者：德米特里·杰韦佳廖夫（英国皇家霍洛威大学，2019年）
9. 《校准型异常检测——在监控应用中识别异常轨迹》（硕士论文），作者：里卡德·拉克什马尔（瑞典舍夫德大学，2014年）🔥🔥🔥🔥🔥
10. 《归纳置信机用于模式识别——迈向人工智能的下一步吗？》（硕士论文），作者：大卫·苏尔科夫（英国皇家霍洛威大学，2004年）
11. 《多元函数回归的分布无关预测区间》（博士论文），作者：瑞安·凯利（美国匹兹堡大学，2020年）
12. 《基于深度校准分位数回归的概率负荷预测》（硕士论文），作者：维尔德·延森（挪威北极圈大学，2021年）
13. 《无模型的多重检验与预测推断方法》（博士论文），作者：任志美（美国斯坦福大学，2021年）🔥🔥🔥🔥🔥
14. 《支持向量机与深度学习在QSAR中的比较——结合校准型预测》（硕士论文），作者：德利加尼·玛丽亚（瑞典乌普萨拉大学，2022年）
15. 《基于校准型与概率预测的预测性维护：一项商业案例研究》（硕士论文），作者：詹姆斯·加默曼（2022年）
16. 《面向自动驾驶的风险敏感决策》（硕士论文），作者：哈迪·哈桑（瑞典乌普萨拉大学，2022年）
17. 《分布无关的有限样本保证与拆分校准型预测》（硕士论文），作者：罗埃尔·胡尔斯曼（牛津大学，2022年）
18. 《基于核心集的机器学习分类协议》（博士论文），作者：内里·里凯尔梅·格拉纳达（英国皇家霍洛威大学，2022年）
19. 《用户可控时间点上的校准型生存预测》（硕士论文），作者：耶勒·范米尔滕堡（瑞典皇家理工学院，2018年）
20. 《利用校准型预测实现可靠的机器学习：综述及贡献》（硕士论文），作者：马丁·索萨（2022年）🔥🔥🔥🔥🔥
21. 《非一致性度量与集成策略——校准型预测器效率与有效性的分析》（博士论文），作者：亨里克·林努松（瑞典斯德哥尔摩大学，2021年）🔥🔥🔥🔥🔥
22. 《确定并解释对荷兰内河船舶违规行为预测的置信度》（硕士论文），作者：巴克尔·保罗（荷兰代尔夫特理工大学，2020年）
23. 《结合校准型预测的机器学习在工业4.0中的预测性维护任务中》（硕士论文），作者：刘书舟、穆拉胡科·姆波瓦（瑞典延雪平大学，2023年）
24. 《时间序列回归中校准型预测方法的基准测试》（本科毕业论文），作者：德克·W·E·普林茨霍恩（2023年）[代码链接] 🔥🔥🔥🔥🔥
25. 《金融领域的校准型预测方法》（硕士论文），作者：若昂·维托尔·罗马诺（巴西纯粹与应用数学研究所，2022年）🔥🔥🔥🔥🔥
26. 《基于校准型预测区间的拒绝推理主动学习方法——应用于真实与半人工数据的信用评分》（硕士论文），作者：马克西米利安·苏利加（德国柏林洪堡大学，2023年）
27. 《制药科学中的置信度预测》（硕士论文），作者：斯塔凡·阿尔维德松·麦克谢恩（瑞典乌普萨拉大学，2023年）🔥🔥🔥🔥🔥
28. 《顺应风向：利用校准型方法处理短期集合预报，进行概率风速预测》（硕士论文），作者：西蒙·阿尔托夫（瑞典隆德大学，2023年）
29. 《可信赖的解释：通过校准良好的不确定性量化提升决策支持》（博士论文），作者：海伦娜·洛夫斯特伦（瑞典延雪平大学，2023年）🔥🔥🔥🔥🔥
30. 《数据增强与校准型预测》（硕士论文），作者：海伦·卢（美国麻省理工学院，2023年）
31. 《基于校准型预测与Copula方法的轮廓监测》（硕士论文），作者：尼科洛·多纳迪尼（意大利米兰理工大学，2023年）
32. 《利用校准型预测，在DNA编码化学库实验数据上训练基于机器学习的QSAR模型》（硕士论文），作者：乌普萨拉大学（2021年）
33. 《回归中不确定性技术的新视角》（硕士论文），作者：亚历山大·克劳克（奥地利林茨约翰内斯·开普勒大学，2024年）
34. 《利用特权信息的稳健校准型预测》（预印本），作者：沙伊·费尔德曼、亚尼夫·罗马诺（以色列理工学院，2024年）
35. 《CONFINE：面向可解释神经网络的校准型预测》（预印本），作者：林辉黄、赛耶里·拉拉、尼拉吉·K·贾哈（美国普林斯顿大学，2024年）
36. 《校准型预测及其拓展》（硕士论文），作者：杰拉尔德·卡斯特罗·卡斯蒂略（西班牙巴塞罗那大学，2024年）[代码链接]
37. 《推荐系统中的校准型预测与不确定性量化》（硕士论文），作者：罗伯托·阿尔瓦拉多·查马丁（西班牙巴塞罗那大学，2024年）[代码链接] 🔥🔥🔥🔥
38. 《基于机器学习的抗癌药物治疗优化》（博士论文），作者：克尔斯廷·伦霍夫（德国萨尔兰大学，2024年）
39. 《迈向具备不确定性感知的硬件木马检测》（硕士论文），作者：拉胡尔·维什瓦卡尔马（2024年）
40. 《诊断与处方型校准型预测框架：应用于睡眠障碍》（硕士论文），作者：法杜玛·哈利夫（美国麻省理工学院，2024年）
41. 《可靠的时间序列预测：使用机器学习模型和EnbPI进行时间序列区间预测》（独立高级别论文），作者：王宣琪（瑞典皇家理工学院，2024年）
42. 《限价订单簿中的校准型预测：DeepLOB的校准与不确定性量化》（硕士论文），作者：法比奥·罗西（英国帝国理工学院，2024年）
43. 《关于自然语言处理中不确定性的探讨》（预印本），作者：丹尼斯·乌尔默（丹麦哥本哈根大学，2024年）
44. 《通过校准训练改进回归问题中的不确定性量化》（文件），作者：约翰内斯·瓦利基维（英国剑桥大学，2023年）
45. 《时间序列的自动自适应校准推理》（服务论文），作者：阿廖姆·马欣（俄罗斯斯科尔科沃科技学院，2024年）
46. 《校准型预测：综述及其在基于深度学习的图像分类中的应用》（电子资源），作者：田宇王（加拿大麦吉尔大学，2024年）
47. 《现代统计推断中的假设精简方法》（记录），作者：罗汉·霍尔（美国芝加哥大学，2025年）
48. 《预测激酶抑制剂家族时的不确定性量化：基于细胞涂片数据的校准型预测方法》（硕士论文），作者：索菲娅·埃尔南德斯·巴伦苏埃拉（瑞典乌普萨拉大学，2025年）
49. 《探索校准型预测在长记忆过程中的应用》（硕士论文），作者：阿莱桑德拉·坎帕内拉（意大利罗马萨皮恩察大学，2025年）
50. 《概率机器学习中不确定性原理》（博士论文），作者：查理·马克思（美国斯坦福大学，2025年）
51. 《深度神经网络中的不确定性估计：贝叶斯近似与校准型预测的比较研究》（学生论文检索），作者：鲁伊斯、桑内与科西亚科娃·阿丽娜（瑞典隆德大学，2025年）
52. 《在未观测混杂因素下个体治疗效应的校准型预测》（硕士论文），作者：郑在浩（韩国首尔国立大学，2025年）。

教程

1. 共形预测教程：基础入门综述 由 Margaux Zaffran 撰写 🔥🔥🔥🔥（2024年）
2. 共形预测教程 由 Henrik Linusson 撰写（2021年） 🔥🔥🔥🔥
3. 自信预测——Henrik Boström 由 Henrik Boström 撰写（2016年） 🔥🔥🔥🔥
4. Henrik Linusson：共形预测 由 Henrik Linusson 撰写（2020年） 🔥🔥🔥🔥
5. 共形预测：理论统一回顾与新挑战 由 Gianluca Zeni、Matteo Fontana 和 Simone Vantini 撰写（意大利米兰理工大学，2021年） 🔥🔥🔥🔥🔥
6. 共形预测：如何量化机器学习模型的不确定性？ECAS-ENBIS课程——ENBIS 2023年会 由 Margaux Zaffran 撰写 🔥🔥🔥🔥🔥（2023年）
7. 共形预测教程 由 Glenn Shafer 和 Vladimir Vovk 撰写（2008年） 🔥🔥🔥🔥🔥
8. Venn-ABERS预测教程 由 Paolo Toccaceli 撰写（英国皇家霍洛威学院，2019年） 🔥🔥🔥🔥🔥
9. 共形预测简介 由 Henrik Linusson 撰写（2017年） 🔥🔥🔥🔥
10. 共形预测：自信预测的小型教程 由 Henrik Linusson 和 Ulf Johansson 撰写（2014年） 🔥🔥🔥🔥
11. [共形预测教程——Claire Boyer 助理教授，巴黎索邦大学LPSM；Margaux Zaffran 博士候选人，EDF、Inria、CMAP、巴黎理工学院]（https://claireboyer.github.io/tutorial-conformal-prediction/） 🔥🔥🔥🔥🔥
12. 共形预测分布教程 由 Paolo Toccaceli 撰写（2020年） 🔥🔥🔥
13. Venn预测器教程 由 Ulf Johansson、Cecilia Sönströd、Tuve Löfström 和 Henrik Boström 撰写（2021年） 🔥🔥🔥🔥
14. Ulf Johansson：Venn预测器 由 Ulf Johansson 撰写（2020年） 🔥🔥🔥🔥
15. 共形预测：自信预测的小型教程 由 Henrik Linusson 和 Ulf Johansson 撰写（2014年）
16. 共形预测与Venn预测器：自信预测教程 由 Ulf Johansson、Henrik Linusson、Tuve Löfström、Henrik Boström 和 Alex Gammerman 撰写（2019年） 🔥🔥🔥🔥🔥
17. 共形预测与无分布不确定性量化简介 由 Anastasios N. Angelopoulos 和 Stephen Bates 撰写（2021年） 视频 代码 🔥🔥🔥🔥
18. 共形预测简介 由 Vineeth N Balasubramanian 撰写（印度理工学院海得拉巴分校，2015年）
19. Spark中的共形预测 由 Marco Capuccini 撰写（乌普萨拉大学，2017年）
20. 利用共形推断获取预测区间 由 Rajiv Shah 撰写（2022年） YouTube 代码 🔥🔥🔥🔥🔥
21. NLP中的不确定性估计 由 Tal Schuster 和 Adam Fisch 撰写（麻省理工学院、南加州大学，2022年） 🔥🔥🔥🔥🔥
22. 使用MAPIE在Kaggle上进行回归预测区间计算 由 Carl McBride Ellis博士撰写
23. IFDS 2021夏季学校上的无分布推断教程 视频1 视频2
24. 共形推断教程 由 Ben Kompa 撰写（2020年）
25. 适用于任何机器学习模型的预测区间——如何使用MAPIE包结合Jackknife+构建预测区间 由 Kjell Jorner 撰写（苏黎世联邦理工学院，2022年） 🔥🔥🔥🔥🔥
26. 不确定性量化（1）：进入共形预测器 由 Mahdi Torabi Rad 撰写（2023年） 🔥🔥🔥
27. 不确定性量化（2）：完全共形预测器 由 Mahdi Torabi Rad 撰写（2023年） 🔥🔥🔥🔥
28. 不确定性量化（3）：从完全到分割共形方法 由 Mahdi Torabi Rad 撰写（2023年） 🔥🔥🔥🔥🔥
29. 基因组学中的共形预测 由 BiolApps 撰写（2023年）
30. 共形预测：可视化入门 在VISxAI中，由 Mihir Agarwal、Lalit Chandra Routhu、Zeel B Patel 和 Nipun Batra 撰写（印度理工学院甘地纳加尔分校、印度理工学院帕特那分校，2023年）
31. 从零开始用NumPy实现共形预测 由 Jones Wacker 撰写（2023年） 🔥🔥🔥🔥🔥
32. 基于共形预测的无分布不确定性量化教程（心理学） 由 Tim Kaiser 和 Philipp Herzog 撰写（柏林自由大学、莱茵兰-普法尔茨州立技术大学凯泽斯劳滕-兰道校区，德国，2025年）。

课程

1. 应用共形预测课程将于2024年5月开课！ 🔥🔥🔥🔥🔥
2. 不确定：不确定性估计的现代主题 YouTube 课程笔记 由阿伦·罗斯（宾夕法尼亚大学，2022年）编写 🔥🔥🔥🔥🔥
3. 现代统计学习专题 由埃德加·多布里班（宾夕法尼亚大学沃顿商学院，2022年）编写 🔥🔥🔥🔥🔥
4. 统计学理论 斯坦福大学统计学课程，由埃曼努埃尔·坎德斯教授主讲（2022年） 🔥🔥🔥🔥🔥
5. 36-708 机器学习统计方法 卡内基梅隆大学课程，由拉里·瓦瑟曼教授主讲（2022年）
6. 共形预测课程 由克里斯托夫·莫尔纳尔主讲（2022年）
7. 共形预测——2023年春季统计学习高级专题 由瑞安·蒂布希拉尼主讲（2023年） 🔥🔥🔥🔥🔥
8. 用于高效可靠深度学习的共形方法 由亚当·菲施（麻省理工学院，2023年）撰写 🔥🔥🔥🔥🔥
9. 共形预测101——葡萄牙语版 🇵🇹 由古斯塔沃·布鲁斯基主讲（2023年） 🔥🔥🔥🔥🔥

视频

1. 概率论基础中的不确定性处理 由弗拉基米尔·沃夫克（英国皇家霍洛威大学，2017年）主讲
2. 有无有效性保证的大规模概率预测 由弗拉基米尔·沃夫克（英国皇家霍洛威大学，NeurIPS 2015）主讲 🔥🔥🔥🔥🔥
3. 二分类模型情境下的校准检验 由弗拉基米尔·沃夫克（英国皇家霍洛威大学，2021年）主讲
4. 受保护的概率分类 由弗拉基米尔·沃夫克（英国皇家霍洛威大学，2021年）主讲
5. 再训练还是不训练：用于变点检测的校准检验鞅 由弗拉基米尔·沃夫克（英国皇家霍洛威大学，2021年）主讲 🔥🔥🔥🔥🔥
6. 校准预测教程 由阿纳斯塔西奥斯·安杰洛普洛斯和史蒂芬·贝茨（伯克利，ICML 2021）主讲 🔥🔥🔥🔥🔥
7. 迈向可信机器学习的步骤 由汤姆·迪特里希（2021年）主讲
8. 校准预测分布教程 由保罗·托卡切利（英国皇家霍洛威大学，2020年）主讲 🔥🔥🔥🔥🔥
9. 校准预测教程 由亨里克·林努松（2021年）主讲 🔥🔥🔥🔥🔥
10. 亨里克·林努松：校准预测 由亨里克·林努松（2020年）主讲
11. 自信地进行预测——亨里克·博斯特伦 由亨里克·博斯特伦（2016年）主讲
12. 如何提高预测建模的确定性 由埃曼纽埃尔·坎德斯（斯坦福大学，2021年）主讲 🔥🔥🔥🔥🔥
13. 预测推断的最新进展 由埃曼纽埃尔·坎德斯（斯坦福大学，2020年）主讲 🔥🔥🔥🔥🔥
14. [“预测推断的一些最新进展”（斯坦福）@ MAD+]（https://www.youtube.com/watch?v=djgxwpJQyAA）由埃曼纽埃尔·坎德斯（斯坦福大学，2020年）主讲
15. 2020年的校准预测 由埃曼纽埃尔·坎德斯（斯坦福大学，2020年）主讲 🔥🔥🔥🔥🔥
16. 黑盒回归算法的无假设预测区间 由阿迪提亚·拉姆达斯（卡内基梅隆大学，2020年）主讲 🔥🔥🔥🔥🔥
17. 玛丽亚·纳瓦罗：量化机器学习预测中的不确定性 | PyData伦敦2019 由玛丽亚·纳瓦罗（2019年）主讲
18. 校准预测：提升预测质量理解的方法 由阿特姆·里亚西克和格雷格·兰德鲁姆主讲
19. 文氏预测器教程 由乌尔夫·约翰逊、塞西莉亚·松斯特罗德、图韦·勒夫斯特伦和亨里克·博斯特伦（2021年）主讲
20. 蒙德里安校准预测分布 由亨里克·博斯特伦、乌尔夫·约翰逊和图韦·勒夫斯特伦（2021年）主讲 🔥🔥🔥🔥🔥
21. 多分类模型的校准 由乌尔夫·约翰逊、图韦·勒夫斯特伦和亨里克·博斯特伦（2021年）主讲
22. 二分类模型情境下的校准检验 由弗拉基米尔·沃夫克（英国皇家霍洛威大学，2021年）主讲
23. Orange中的校准预测 由托马日·霍切瓦尔和布拉日·祖潘（2021年）主讲
24. 无分布假设、风险可控的预测集 由阿纳斯塔西奥斯·安杰洛普洛斯（伯克利，2021年）主讲 🔥🔥🔥🔥🔥
25. 校准预测与无分布假设的校准 由阿迪提亚·拉姆达斯（卡内基梅隆大学，2021年）主讲 🔥🔥🔥🔥🔥
26. 校准预测器提供的可靠诊断 由亚历山大·加默曼（英国皇家霍洛威大学，2015年）主讲
27. 反事实与生存时间结局的校准推断 由李华蕾（斯坦福大学，2021年）主讲
28. 算法时刻——反事实与个体治疗效应的校准推断 由李华蕾（斯坦福大学，2021年）主讲
29. 反事实与个体治疗效应的校准推断（斯坦福） 由李华蕾（斯坦福大学，2021年）主讲
30. 使用归纳校准预测器近似对象条件有效性 由安东尼·贝洛蒂（中国宁波诺丁汉大学，2021年）主讲
31. 乌尔夫·约翰逊：文氏预测器 由乌尔夫·约翰逊（瑞典延雪平大学，2021年）主讲 🔥🔥🔥🔥🔥
32. 基于Transformer的校准预测器用于释义检测 由帕特里齐奥·贾万诺蒂和亚历山大·加默曼教授（英国皇家霍洛威大学，2021年）主讲
33. 反事实与个体治疗效应的校准推断 由李华蕾（斯坦福大学，2020年）主讲
34. 无模型预测推断 由拉里·瓦瑟曼（卡内基梅隆大学，2020年）主讲 🔥🔥🔥🔥🔥
35. 基于Shapley值的归纳校准预测 由威廉·洛佩斯·哈拉米略（2021年）主讲
36. 校准训练：学习最优校准分类器 | DeepMind 由大卫·斯图茨（2021年）主讲 🔥🔥🔥🔥🔥
37. 无分布假设、风险可控的预测集 由阿纳斯塔西奥斯·安杰洛普洛斯（2021年）主讲 🔥🔥🔥🔥🔥
38. 无假设、高维推断 由拉里·瓦瑟曼（2016年）主讲
39. 部分可观测情况下的神经网络预测监控 由弗朗切斯卡·凯罗利（2021年）主讲
40. 校准核岭回归及其效率 由叶夫根尼·布尔纳耶夫（俄罗斯斯科尔科沃，2015年）主讲
41. 利用影响函数进行快速校准分类 由乔瓦尼·切鲁宾（英国艾伦·图灵研究所，2021年）主讲
42. 有效推断模型与校准预测 由瑞安·马丁（美国北卡罗来纳州立大学，2021年）主讲
43. 蒙德里安校准预测分布 由亨里克·博斯特伦、乌尔夫·约翰逊和图韦·勒夫斯特伦（瑞典皇家理工学院，2021年）主讲 🔥🔥🔥🔥🔥
44. 极端事件下校准预测系统的更新策略评估 由雨果·维尔纳、拉斯·卡尔松、恩斯特·阿赫尔贝格和亨里克·博斯特伦（瑞典皇家理工学院，2021年）主讲
45. 针对依赖数据的精确且稳健的校准推断方法 由维克多·切尔诺朱科夫（麻省理工学院，美国，2019年）主讲 🔥🔥🔥🔥🔥
46. 乌尔夫·约翰逊：文氏预测器 由乌尔夫·约翰逊（瑞典延雪平大学，2020年）主讲 🔥🔥🔥🔥🔥
47. 房地产管理中债务预测的类别置信度 由桑杜斯·梅苏迪（2021年）主讲
48. 非一致性函数与数据集难度对校准分类器效率的影响 由玛尔哈丽塔·亚历山德罗娃（2021年）主讲
49. 嵌套校准预测与分位数袋外集成方法 由奇拉格·古普塔（卡内基梅隆大学，2020年）主讲 🔥🔥🔥🔥🔥
50. 迈克尔·I·乔丹、弗拉基米尔·沃夫克和拉里·瓦瑟曼小组讨论，由阿迪提亚·拉姆达斯主持 由弗拉基米尔·沃夫克、拉里·瓦瑟曼、迈克尔·I·乔丹、阿迪提亚·拉姆达斯在ICML 2021上主持 🔥🔥🔥🔥🔥 🔥🔥🔥🔥🔥
51. 黑箱中的不确定性——阿纳斯塔西奥斯·安杰洛普洛斯 由阿纳斯塔西奥斯·安杰洛普洛斯（伯克利，美国，2021年）主讲 🔥🔥🔥🔥🔥
52. P.C. 马哈拉诺比斯纪念讲座2020-21 由弗拉基米尔·沃夫克（英国皇家霍洛威大学，2021年）主讲
53. 拉胡尔·维什瓦卡玛：不确定环境下机器学习预测的新视角 | SNIA存储开发者大会，圣克拉拉2019 由拉胡尔·维什瓦卡玛（2019年）主讲
54. 利用影响函数进行快速校准分类 由乌芒·巴特、艾德里安·韦勒和乔瓦尼·切鲁宾（剑桥/艾伦·图灵研究所，2021年）主讲。
55. 面向时间序列的自适应校准预测 | ISDFS 由玛戈·扎夫兰（2022年）主讲 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥代码
56. 预测推断的最新进展 由埃曼纽埃尔·坎德斯，斯坦福大学（2022年）主讲
57. 带有自适应截断的校准生存分析 由丽娜·福伊格尔·巴伯、智美仁、于桂和罗翰·霍尔，芝加哥大学（2022年）主讲
58. 用校准预测校准概率层次化预测 由达安·费迪南杜斯（阿姆斯特丹大学，2022年）主讲
59. 迈克尔·I·乔丹谈校准预测 由迈克尔·I·乔丹（伯克利，2022年）主讲
60. 无分布假设的预测：交换性及更广 由丽娜·福伊格尔·巴伯（芝加哥大学，2022年）主讲
61. 普渡大学统计主题研讨会，2022年的校准预测 由埃曼纽埃尔·坎德斯（斯坦福大学，2022年）主讲
62. 我的机器人会实现我的目标吗？预测MDP策略达到用户指定行为目标的概率 由亚历山大·盖耶和托马斯·G·迪特里希（俄勒冈大学，2022年）共同撰写
63. 稳健且公平的不确定性估计 由亚伦·罗斯（2022年）主讲
64. 生物分子设计中反馈协变量漂移下的校准预测 由克拉拉·王-范江（伯克利，2022年）主讲
65. 2022年的校准预测 埃曼纽埃尔·坎德斯在NeurIPS2022上的特邀报告 🔥🔥🔥🔥🔥
66. 拓宽校准推断的范围 由迈克尔·I·乔丹（伯克利大学，2022年）主讲 🔥🔥🔥🔥🔥
67. 论文阅读小组——Fortuna，一个用于不确定性量化的小程序库
68. CLIMB常青树讲座，与埃曼纽埃尔·坎德斯一起探讨：当数据不可交换时的校准推断 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
69. 算法时刻——反事实与个体治疗效应的校准推断 | 李华蕾
70. 'MoroccoAI网络研讨会——桑杜斯·梅苏迪博士——利用校准预测进行信心学习'
71. 埃曼纽埃尔·坎德斯——校准预测一瞥 由埃曼纽埃尔·坎德斯（2023年）主讲
72. 校准预测的基础——完全校准预测器 由马赫迪·托拉比·拉德（2023年）主讲 🔥🔥🔥🔥🔥
73. 麦克斯·默根塔勒和费德·加尔萨——量化时间序列预测中的不确定性 由麦克斯·默根塔勒和费德·加尔萨（Nixtla，2023年）主讲 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
74. 使用Fortuna库进行不确定性量化——詹卢卡·德托马索（AWS） 由詹卢卡·德托马索（亚马逊，2023年）主讲
75. 量化时间序列预测中的不确定性 由麦克斯·默根塔勒和费德·加尔萨（Nixtla，2023年）主讲
76. NISS/Merck关于校准推断的聚会：推进机器学习边界 4.19.2023 （2023年） 🔥🔥🔥🔥🔥
77. 麦克斯·库恩——建模后的模型，用来修复模型 由麦克斯·库恩（2023年）主讲🔥🔥🔥🔥🔥
78. ISDFS演讲：会求助的机器人：用于LLM规划者的校准预测 由阿尼鲁达·马朱姆达尔（普林斯顿/DeepMind）主讲 🔥🔥🔥🔥🔥（2023年）
79. 会求助的机器人：大型语言模型规划者中的不确定性对齐 由艾伦·Z·任（2023年）主讲 🔥🔥🔥🔥🔥
80. [校准预测与复杂数据分析]（https://www.youtube.com/watch?v=PbHsmPupFak）由马泰奥·丰塔纳（2023年）主讲 🔥🔥🔥🔥🔥
81. 轻松三步了解校准预测（CP）、符合性得分及Python实现 由（2023年的数据科学家）主讲 🔥🔥🔥🔥🔥
82. 新星#8：克拉拉·王-范江（基因泰克）——预测驱动的推断
83. 新星#10——校准预测专题系列：以撒·吉布斯（斯坦福大学）有条件的校准推断
84. 现代霍普菲尔德网络用于时间序列的校准预测 由安德烈亚斯·奥尔 主讲 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
85. 推出顺序预测校准推断（SPCI） 由陈旭（2023年）主讲 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
86. 校准预测区间：赋能高管做出明智决策 由马修·科拉科夫斯基（2023年）主讲 🔥🔥🔥🔥🔥
87. 使用Tidymodels进行校准推断——posit::conf（2023年） 由麦克斯·库恩（2023年）主讲
88. ACon^2：可证明区块链预言机的适应性校准共识 由桑顿·朴（2023年）主讲
89. 利用校准预测进行校准的概率时间序列预测 由英格·范登恩德（Dexter Energy，2023年）主讲 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
90. 通过校准图神经网络对图进行不确定性量化 由凯欣·黄（斯坦福大学，2023年）主讲 🔥🔥🔥🔥🔥
91. 使用校准p值进行选择性预测 由英金（斯坦福大学，2023年）主讲
92. 利用校准预测器构建可信的检索增强型聊天机器人 由朔黎（宾夕法尼亚大学，2023年）主讲。
93. PyLadies阿姆斯特丹介绍校准预测 由英格·范登恩德（2024年）主讲 🔥🔥🔥🔥🔥代码
94. 阿努什里·迪克西特——自信规划：安全关键任务中的不确定性量化 （2024年） 🔥🔥🔥🔥🔥
95. 加速分析：使用Shapelets和校准预测，约48分钟开始 由卡尔·麦克布莱德·埃利斯（2024年）主讲 代码 🔥🔥🔥🔥🔥
96. 经济学中的校准分位数估计 由马丁·范豪瑟（博科尼大学，2024年）主讲
97. 大数据：第4讲（学习中的不确定性，用于NLP的大数据） 由帕特里克·格劳纳教授（2024年）主讲
98. 揭示精准：阿贝尔和埃德加推出的一种新型ML框架，用于准确的概率估计，虽然并非严格意义上的校准预测，但展示了校准在金融领域的重要性（2024年）
99. Autonomy Talks——索米尔·班萨尔：学习型自主系统的安全保证 由索米尔·班萨尔（USC，2024年）主讲 🔥🔥🔥🔥🔥
100. 与弗拉基米尔·沃夫克关于校准推断的访谈 （2024年）
101. 拥抱误差：用不完美的预测做出可信的科学决策 由克拉拉·王-范江（Genentech）（2024年）主讲
102. 对称校准下的校准区间算术 由芮洛、志新周（香港城市大学，2024年）主讲
103. 稳健而高效的校准预测集 由索鲁什·H·扎尔加尔巴什（2024年）主讲
104. 校准预测在医学中的应用 | CGSI 2024 由艾哈迈德·阿拉（2024年）主讲
105. 莫杰塔巴·法尔曼巴尔——不确定性量化：你的机器学习模型到底有多可靠？ 由莫杰塔巴·法尔曼巴尔（2024年）主讲
106. 科迪耶和拉孔布——提升AI可靠性：用MAPIE进行不确定性量化 由蒂博·科迪耶和路易·拉孔布（2024年）主讲
107. 理解、生成和评估预测区间——posit conf 2024 由布莱恩·沙洛韦（2024年）主讲
108. 本地安装TorchCP——用于深度学习模型的校准预测Python工具箱 由法赫德·米尔扎（2024年）主讲
109. 校准预测：使模型人性化的不确定性量化 由文森佐·文特里利亚（2025年）主讲 🔥🔥🔥🔥🔥

论文

1. Introducing Conformal Prediction in Predictive Modeling. A Transparent and Flexible Alternative to Applicability Domain Determination by Ulf Norinder, Lars Carlsson, Scott Boyer, and Martin Eklund (2014)
2. Uncertainty Sets for Image Classifiers using Conformal Prediction by Anastasios N. Angelopoulos, Stephen Bates, Jitendra Malik, & Michael I. Jordan (Berkeley, 2021) 🔥🔥🔥🔥🔥
3. Conformal Prediction Under Covariate Shift by Ryan Tibshirani, Rina Foygel Barber, Emmanuel Candes, Aaditya Ramdas (Carnegie Mellon, Stanford, Chicago, 2019) 🔥🔥🔥🔥🔥
4. Regression Conformal Prediction with Nearest Neighbours by Harris Papadopoulos, Vladimir Vovk and Alex Gammerman (Royal Holloway, UK, 2014) 🔥🔥🔥🔥🔥
5. Nested conformal prediction and quantile out-of-bag ensemble methods by Chirag Gupta, Arun Kuchibhotla and Aaditya Ramdas (Carnegie Mellon, 2021) 🔥🔥🔥🔥🔥
6. Cross-conformal predictive distributions by Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin and Alexander Gammerman (Royal Holloway, UK, 2018) 🔥🔥🔥🔥🔥 🔥🔥🔥🔥🔥
7. Criteria of Efficiency for Conformal Prediction by Vladimir Vovk, Ilia Nouretdinov, Valentina Fedorova, Ivan Petej, and Alex Gammerman ((Royal Holloway, UK, 2016)
8. Conformal Prediction for Simulation Models by Benjamin LeRoy and Chad Schafer (Carnegie Mellon, 2021)
9. Distribution-free, risk-controlling prediction sets Stephen Bates, Anastasios Angelopoulos, Lihua Lei, Jitendra Malik and Michael I Jordan (Berkeley, 2021) 🔥🔥🔥🔥🔥
10. Conditional calibration for false discovery rate control under dependence by William Fithian and Lihua Lei (Stanford, 2021)
11. Conformal Prediction: a Unified Review of Theory and New Challenges by Gianluca Zeni, Matteo Fontana and S. Vantini (2021) 🔥🔥🔥🔥🔥
12. Regression conformal prediction with random forests by Ulf Johansson, Henrik Boström, Tuve Löfström and Henrik Linusson (2014)
13. A conformal prediction approach to explore functional data by Jing Lei, Alessandro Rinaldo, Larry Wasserman (Carnegie Mellon, 2013)
14. An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction by Xianghao Zhana,c, Zhan Wanga, Meng Yangb, Zhiyuan Luod, You Wanga, Guang Li (2020)
15. Predicting the Rate of Skin Penetration Using an Aggregated Conformal Prediction Framework by Martin Lindh, A. Karlén, Ulf Norinder (2017)
16. The application of conformal prediction to the drug discovery process by Martin Eklund, Ulf Norinder, Scott Boyer & Lars Carlsson (2014) 🔥🔥🔥🔥🔥
17. Distributional conformal prediction by Victor Chernozhukov, Kaspar Wüthrich, Yinchu Zhu (2021) 🔥🔥🔥🔥🔥
18. Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction by James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, and Alexander Gammerman (2009)
19. Conformal prediction interval estimation and applications to day-ahead and intraday power markets by Christopher Kath, Florian Ziel (2019) 🔥🔥🔥🔥🔥
20. The application of conformal prediction to the drug discovery process by Martin Eklund, Ulf Norinder, Scott Boyer & Lars Carlsson (2013)
21. Anomaly Detection of Trajectories with Kernel Density Estimation by Conformal Prediction by James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman (Royal Holloway, UK, 2014)
22. Conformal Prediction: a Unified Review of Theory and New Challenges by Gianluca Zeni, Matteo Fontana1 and Simone Vantini (Politecnico di Milano, Italy, 2021)
23. Exchangeability, Conformal Prediction, and Rank Tests by Arun Kuchibhotla (Carnegie Mellon, 2021)
24. Conformal prediction with localization by Leying Guan (Yale, 2020)
25. Predicting skin sensitizers with confidence - Using conformal prediction to determine applicability domain of GARD by Andy Forreryd, Ulf Norinder, Tim Lindberg, Malin Lindstedt (2018)
26. Binary classification of imbalanced datasets using conformal prediction by Ulf Norinder, Scott Boyer (2017)
27. Discretized conformal prediction for efficient distribution-free inference by Wenyu Chen, Kelli-Jean Chun, and Rina Foygel Barber (2017)
28. Validity, consonant plausibility measures, and conformal prediction by Leonardo Cella. and Ryan Martin (2021)
29. Conformal Prediction Classification of a Large Data Set of Environmental Chemicals from ToxCast and Tox21 Estrogen Receptor Assays by Ulf Norinder, Scott Boyer (2016)
30. Conformal prediction to define applicability domain – A case study on predicting ER and AR binding by U. Norinder, A. Rybacka, P.Andersson (2016)
31. Conformal prediction of biological activity of chemical compounds by Paolo Toccaceli, Ilia Nouretdinov, Alex Gammerman (Royal Holloway, UK, 2017) 🔥🔥🔥🔥🔥
32. Introducing conformal prediction in predictive modeling for regulatory purposes. A transparent and flexible alternative to applicability domain determination by Ulf Norinder, Lars Carlsson, Scott Boyer, Martin Eklund (2015)
33. Aggregated Conformal Prediction by Lars CarlssonMartin EklundUlf Norinder (2014)
34. Interpretation of Conformal Prediction Classification Models by Ernst Ahlberg, Ola Spjuth, Catrin Hasselgren, Lars Carlsson (2015)
35. Cross-Conformal Prediction with Ridge Regression by Harris Papadopoulos (2015)
36. Sparse conformal prediction for dissimilarity data by Frank-Michael Schleif, Xibin Zhu and Barbara Hammer (2015)
37. Effective utilization of data in inductive conformal prediction using ensembles of neural networks by Tuve Löfström, Ulf Johansson and Henrik Boström (2013)
38. Beyond the Basic Conformal Prediction Framework by Vladimir Vovk (2014)
39. An electronic nose-based assistive diagnostic prototype for lung cancer detection with conformal prediction by Xianghao Zhan, Zhan Wang, Meng Yang, Zhiyuan Luo, You Wang, Guang Li (Stanford, Royal Holloway, China University of Mining and Technology, 2020)
40. Predicting with confidence: Using conformal prediction in drug discovery by Jonathan Alvarsson, Staffan Arvidsson McShane, Ulf Norinder, Ola Spjuth (2021) 🔥🔥🔥🔥🔥
41. Inductive conformal prediction for silent speech recognition by Ming Zhang, You Wang, Zhang Wei, Meng Yang, Zhiyuan Luo, Guang Li (2020)
42. Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery by Nicolas Bosc, Francis Atkinson, Eloy Felix, Anna Gaulton, Anne Hersey and Andrew R. Leach (2019)
43. Deep Conformal Prediction for Robust Models by Soundouss Messoudi, Sylvain Rousseau and Sébastien Destercke (2020)
44. Strong validity, consonance, and conformal prediction by Leonardo Cella and Ryan Martin (2020)
45. Skin Doctor CP: Conformal Prediction of the Skin Sensitization Potential of Small Organic Molecules by Anke Wilm, U. Norinder, M. Agea, Christina de Bruyn Kops, Conrad Stork, J. Kühnl, J. Kirchmair (2020)
46. Conformal prediction based active learning by linear regression optimization by Sergio Matiz, Kenneth E.Barner (2020)
47. Conformal prediction intervals for the individual treatment effect by Danijel Kivaranovic, Robin Ristl, Martin Poschb, Hannes Leeb (2020)
48. Nearest neighbor based conformal prediction by László Györfi and Harro Walk (2020)
49. Concepts and Applications of Conformal Prediction in Computational Drug Discovery by Isidro Cortés-Ciriano and Andreas Bender (2019) 🔥🔥🔥🔥🔥
50. Predicting Ames Mutagenicity Using Conformal Prediction in the Ames/QSAR International Challenge Project by Ulf Norinder, Ernst Ahlberg, Lars Carlsson (2018)
51. Nested Conformal Prediction and the Generalized Jackknife by Arun Kuchibhotla and Aaditya Ramdas (Carnegie Mellon, 2019)
52. Predictive inference with the jackknife+ by Rina Foygel Barber, Emmanuel Candès, Aaditya Ramdas, and Ryan Tibshirani (2020) 🔥🔥🔥🔥🔥
53. Nonparametric predictive distributions based on conformal prediction by Vladimir Vovk, Jieli Shen, Valery Manokhin and Min-ge Xie (Royal Holloway, UK, Rutgers, USA, 2018) 🔥🔥🔥🔥🔥
54. A Distribution-Free Test of Covariate Shift Using Conformal Prediction by Xiaoyu Hu and Jing Lei (Peking Univerity, China and Carnegie Mellon, USA, 2020) 🔥🔥🔥🔥🔥
55. Exchangeability, Conformal Prediction, and Rank Tests by Arun Kuchibhotla (Carnegie Mellon, 2021)
56. Conformal prediction with localization by Leying Guan (2020)
57. Multitask Modeling with Confidence Using Matrix Factorization and Conformal Prediction by Ulf Norinder, Fredrik Svensson
58. Conformal prediction of HDAC inhibitors by U. Norinder, J.J.Navaka, E. Lopez-Lopez, D. Mucs & J.L. Medina-Franco (2019)
59. Computing Full Conformal Prediction Set with Approximate Homotopy by Eugene Ndiaye, Ichiro Takeuchi (2019)
60. Conformal Prediction Based on Raman Spectra for the Classification of Chinese Liquors by Jiao Gu, Huaibo Liu, Chaoqun Ma, Lei Li, Chun Zhu, Christ Glorieux, Guoqing Chen (2019)
61. Efficient and minimal length parametric conformal prediction regions by Daniel Eck and Forrest Crawford (2019)
62. Conformal Prediction for Students' Grades in a Course Recommender System by Raphael Morsomme and Evgueni Smirnov (2019)
63. Efficient iterative virtual screening with Apache Spark and conformal prediction by Laeeq Ahmed, Valentin Georgiev, Marco Capuccini, Salman Toor, Wesley Schaal, Erwin Laure and Ola Spjuth (2018)
64. Predicting Off-Target Binding Profiles With Confidence Using Conformal Prediction by Samuel Lampa, Jonathan Alvarsson, Staffan Arvidsson Mc Shane, Arvid Berg, Ernst Ahlberg, Ola Spjuth (2018)
65. Maximizing gain in high-throughput screening using conformal prediction by Fredrik Svensson, Avid M. Afzal1, Ulf Norinder and Andreas Bender (2018)
66. Conformalized Survival Analysis by Emmanuel Candès, Lihua Lei and Zhimei Ren (2021) R-Code 🔥🔥🔥🔥🔥
67. Random Forest Prediction Intervals by Haozhe Zhang†, Joshua Zimmerman†, Dan Nettleton† and Daniel J. Nordman† (Iowa State University, USA, 2019)
68. Conformal Training: Learning Optimal Conformal Classifiers | DeepMind by David Stutz (DeepMind), Krishnamurthy Dvijotham, Ali Taylan Cemgil and Arnaud Doucet (2021)
69. Comparing the Bayes and typicalness frameworks by Thomas Melluish, Craig Saunders, Ilia Nouretdinov, and Volodya Vovk (Royal Holloway, UK, 2001). 🔥🔥🔥🔥🔥
70. Large-scale probabilistic predictors with and without guarantees of validity by Vladimir Vovk, Ivan Petej, and Valentina Fedorova (Royal Holloway, Yandex, NeurIPS) 🔥🔥🔥🔥🔥
71. Inductive conformal prediction for silent speech recognition by Ming Zhang, You Wang, Wei Zhang, Meng Yang, Zhiyuan Luo and Guang Li (2020)
72. Conformal Prediction using Conditional Histograms by Matteo Sesia and Yaniv Romano (NeurIPS 2021 paper). code 🔥🔥🔥🔥🔥
73. Valid prediction intervals for regression problems by Nicolas Dewolf, Bernard De Baets, Willem Waegeman (2021) 🔥🔥🔥🔥🔥
74. Application of conformal prediction interval estimations to market makers’ net positions by Wojciech Wisniewski, David Lindsay, Sian Lindsay (Royal Holloway, UK, 2020)
75. Locally Valid and Discriminative Prediction Intervals for Deep Learning Models by Zhen Lin, Shubhendu Trivedi, Jimeng Sun (NeurIPS, 2021) 🔥🔥🔥🔥🔥
76. Distribution-Free Federated Learning with Conformal Predictions by Charles Lu and Jayashree Kalpathy-Cramer (2022)
77. Coreset-based Conformal Prediction for Large-scale Learning by Nery Riquelme-Granada, Khuong Nguyen, Zhiyuan Luo (Royal Holloway, UK, 2019)
78. Fast probabilistic prediction for kernel SVM via enclosing balls by Nery Riquelme-Granada, Khuong Nguyen, Zhiyuan Luo (Royal Holloway, UK, 2020)
79. Conformalized density- and distance-based anomaly detection in time-series data by Evgeny Burnaev, Vladislav Ishimtsev (2016)
80. Predictive Inference with Weak Supervision by Maxime Cauchois, Suyash Gupta, Alnur Ali and John Duchi (Stanford, 2022)
81. Conformal Prediction in Clinical Medical Sciences by Janette Vazquez and Julio C. Facelli University of Utah, 2022)
82. Provably Improving Expert Predictions with Conformal Prediction by Eleni Straitouri, Lequng Wang, Nastaran Okati and Manuel Gomez Rodriguez (Max Planck Institute for Software Systems / Cornell University, 2021).
83. Conformal predictive distributions with kernels by Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman (Royal Holloway, UK, 2017)
84. Multi-class probabilistic classification using inductive and cross Venn–Abers predictors by Valery Manokhin (Royal Holloway, UK, 2017). 🔥🔥🔥🔥🔥
85. Computationally efficient versions of conformal predictive distributions by Vladimir Vovk, Ivan Petej, Ilia Nouretdinov, Valery Manokhin, Alex Gammerman (Royal Holloway, UK, 2019).
86. Cover your cough: detection of respiratory events with confidence using a smartwatch by Khuong An Nguyen, Zhiyuan Luo (Royal Holloway, 2019).
87. Predicting Amazon customer reviews with deep confidence using deep learning and conformal prediction by Ulf Norinder and Petra Norinder (2022)
88. Conformal Prediction for the Design Problem by Clara Fannjianga, Stephen Batesa, Anastasios Angelopoulosa, Jennifer Listgartena and Michael I. Jordan (Berkeley, 2022) 🔥🔥🔥🔥🔥
89. Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging by Anastasios N. Angelopoulos, Amit Kohli, Stephen Bates, Michael I. Jordan, Jitendra Malik, Thayer Alshaabi, Srigokul Upadhyayula, Yaniv Romano (Berkeley and Technion, 2022) 🔥🔥🔥🔥🔥
90. Conformal predictive decision making by Vladimir Vovk and Claus Bendtsen (2018).
91. The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting by Alnur Ali1, Maxime Cauchois and John C. Duchi (Stanford, 2022)
92. E-values: Calibration, combination, and applications by Vladimir Vovk (Royal Holloway) and Ruodu Wang (University of Waterloo) (2019)
93. Conformal Prediction Sets with Limited False Positives by Adam Fisch, Tal Schuster, Tommi Jaakkola and Regina Barzilay code (MIT / Google Research, 2022) 🔥🔥🔥🔥🔥
94. Adaptive Conformal Predictions for Time Series by Margaux Zaffran, Aymeric Dieuleveut, Olivier Fe ́ron, Yannig Goude, and Julie Josse (EDF / INRIA / CMAP, France, 2022) 🔥🔥🔥🔥🔥 Code
95. Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting by Vilde Jensen, Filippo Maria Bianchi, Stian Norman Anfinsen (Arctic University of Norway, 2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 Python Code
96. Prediction of Metabolic Transformations using Cross Venn-ABERS Predictors by Staffan Arvidsson, Ola Spjuth, Lars Carlsson and Paolo Toccaceli (University of Uppsala, Astra Zeneca, Royal Holloway, 2017)
97. Probabilistic Prediction in scikit-learn by Sweidan, Dirar and Ulf Johansson. 🔥🔥🔥🔥🔥
98. Conformalized Online Learning: Online Calibration Without a Holdout Set by Shai Feldman, Stephen Bates and Yaniv Romano (2022). TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
99. Valid model-free spatial prediction by Huiying Mao, Ryan Martin and Brian J Reich (2020)
100. Conformal Prediction with Temporal Quantile Adjustments by Zhen Lin, Shubhendu Trivedi, Jimeng Sun (2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
101. Calibration of Natural Language Understanding Models with Venn–ABERS Predictors by Patrizio Giovannotti (Royal Holloway, UK, 2022) NLP
102. Conformal prediction interval for dynamic time-series by Chen Xu, Yao Xie (Georgia Tech, 2021) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
103. Conformal prediction set for time-series by Chen Xu, Yao Xie (Georgia Tech, 2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
104. Adaptive Conformal Predictions for Time Series by Margaux Zaffran, Aymeric Dieuleveut, Olivier Fe ́ron, Yannig Goude, and Julie Josse (2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥Code
105. Conformal Time-Series Forecasting by Kamile Stankeviciu te and Ahmed M. Alaa (2021) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
106. Efficient Conformal Prediction via cascaded inference with expanded admission by Adam Fisch, Tal Schuster, Tommi Jaakkola, Regina Barzilay (MIT 2021]. Python Code
107. Split Localized Conformal Prediction by Xing Han, Ziyang Tang, Joydeep Ghosh, Qiang Liu (University of Texas, 2022). Python Code
108. Three Applications of Conformal Prediction for Rating Breast Density in Mammography by Charles Lu, Ken Chang, Praveer Singh, Jayashree Kalpathy-Crame (2022)
109. Conformal prediction set for time-series by Chen Xu, Yao Xie (Georgia Tech, 2022) Python Code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
110. Recommendation systems with distribution-free reliability guarantees) by Anastasious Angelopolous, Karl Krauth, Stephen Bates, Yixin Wang and Michael I. Jordan (Berkeley 2022)
111. Model Agnostic Conformal Hyperparameter Optimization by Riccardo Doyle (Spotify, 2022)
112. Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets by Charles Lu, Anastasios N. Angelopoulos, Stuart Pomerantz (2022) code 🔥🔥🔥🔥🔥
113. Conformal Off-Policy Prediction in Contextual Bandits by Muhammad Faaiz Taufiq, Jean-François Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet (Oxford, 2022) Video presentation
114. Training Uncertainty-Aware Classifiers with Conformalized Deep Learning by Bat-Sheva Einbinder, Yaniv Romano, Matteo Sesia, Yanfei Zhou (Technion, USCLA 2022) Video presentation; Code
115. Semantic uncertainty intervals for disentangled latent space by Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, and Phillip Isola (Unversity of Berkeley, Technion, 2022) 🔥🔥🔥🔥🔥
116. MAPIE: an open-source library for distribution-free uncertainty quantification by Vianney Taquet, Vincent Blot, Thomas Morzadec, Louis Lacombe, Nicolas Brunel (Quantmetry, France, 2022)
117. CODiT: Conformal Out-of-Distribution Detection in Time- Series Data by Ramneet Kaur et.al., Unibersity of Pensylvania (2022). Code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
118. Confident Adaptive Language Modeling by Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler (Google, MIT, 2022j
119. Probabilistic Conformal Prediction Using Conditional Random Samples by Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei (Columbia University, 2020) Code
120. A general framework for multi-step ahead adaptive conformal heteroscedastic time series forecasting by Martim Sousa, Ana Maria Tome and Jose Moreira (University of Aveiro, 2022) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
121. A novel Deep Learning approach for one-step Conformal Prediction approximation by Julia A. Meister, Khuong An Nguyen, Stelios Kapetanakis and Zhiyuan Luo (University of Brighton, UK, 2022) 🔥🔥🔥🔥🔥
122. Conformal Risk Control by Anastasious Angelopolous, Stephen Bates, Adam Fisch, Lihua Lei and Tal Schuster (Berkeley, Stanford, MIT and Google Research, 2022) 🔥🔥🔥🔥🔥
123. CD-split and HPD-split: Efficient Conformal Regions in High Dimensions by Rafael Izbicki, Gilson Shimizu, Rafael B. Stern (San Carlos University Brazil, 2022) R code
124. Flexible distribution-free conditional predictive bands using density estimators by Rafael Izbicki, Gilson Shimizu, and Rafael B. Stern (San Carlos University Brazil, 2020)
125. Split Conformal Prediction for Dependent Data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos, João Vitor Romano (IMPA, Rio de Janeiro, Brazil, 2022)
126. Conformal Inference for Online Prediction with Arbitrary Distribution Shifts by Isaac Gibbs and Emmanual Candes (Stanford, 2022) 🔥🔥🔥🔥🔥
127. A General Framework For Multi-step Ahead Adaptive Conformal Heteroscedastic Time Series Forecasting by Martim Sousa, Ana Maria Tomé, University of Aveiro (2022) Code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
128. Cough-based COVID-19 detection with audio quality clustering and confidence measure based learning by Alice E. Ashby, Julia A. Meister, Khuong An Nguyen, Zhiyuan Luo, Werner Gentzk (University of Brighton, 2022)
129. Assessing Explanation Quality by Venn Prediction by Amr Alkhatib, Henrik Bostroem and Ulf Johansson (2022)
130. Conformal prediction for hypersonic flight vehicle classification by Zepu Xi, Xuebin Zhuang, Hongbo Chen (Yat-sen University, Guangzhou, China, 2022) Slides
131. Robust Gas Demand Forecasting With Conformal Prediction by Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini (2022)
132. Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets by Christopher Kath and Florian Ziel (2020)
133. Conformal Prediciton beyond exchangeability by Rina Foygel Barber, Emmanuel J. Candes, Aaditya Ramdas, Ryan J. Tibshirani (2022)
134. Robust Gas Demand Forecasting with Conformal Prediction by Mouhcine Mendil, Luca Mossina, Marc Nabhan, Kevin Pasini (2022)
135. Split conformal prediction for dependant data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos and João Vitor Romano (2022)
136. Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers by Ziyi Liang, Matteo Sesia, Wenguang Sun (UCLA, 2022)
137. Conformal Prediction Bands for Two-Dimensional Functional Time Series by Niccolo` Ajroldia, Jacopo Diquigiovannib, Matteo Fontanac, Simone Vantinia (2022)
138. Conformal prediction of small-molecule drug resistance in cancer cell lines by Saiveth Hernandez-Hernandez, Sachin Vishwakarma and Pedro Ballester (2022)
139. Ellipsoidal conformal inference for Multi-Target Regression by Soundouss Messoudi, Sebastien Destercke, Sylvain Rousseau (2022) Slides
140. Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey by Sophia Sun (UCLA, 2022)
141. Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images by Håkan Wieslander , Philip J. Harrison, Gabriel Skogberg, Sonya Jackson, Markus Fridén, Johan Karlsson, Ola Spjuth, and Carolina Wählby (2021)
142. Audio–visual domain adaptation using conditional semi-supervised Generative Adversarial Networks by Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis (2022)
143. Conformal Prediction is Robust to Label Noise by Bat-Sheva Einbinder, Stephen Bates, Anastasios N. Angelopoulos, Asaf Gendler, Yaniv Romano (2022)
144. Copula Conformal Prediction for Multi-step Time Series Forecasting TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
145. Batch Multivalid Conformal Prediction by Christopher Jung, Georgy Noarov, Ramya Ramalingam, Aaron Roth (Stanford, university of Pensylvania, 2022)
146. Selection by Prediction with Conformal p-values by Ying Jin1 and Emmanuel J. Candes, (Stanford, 2022) Video code
147. Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction by Sangwoo Park, Kfir M. Cohen, Osvaldo Simeone (2022)
148. Conformalized Fairness via Quantile Regression by Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang (University of Alberta, Noah Arc Huawei, 2022)
149. Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples by Fatih Furkan Yilmaz, and Reinhard Heckel (Rice University / University of Munuch, 2022)
150. Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains by Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh Halappanavar (2022)
151. Predictive inference with feature conformal prediction by Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan (Tsinghua University, Mila - Quebec AI Institute, Shanghai Artificial Intelligence Laboratory, Shanghai Qi Zhi Institute, 2022) code 🔥🔥🔥🔥🔥
152. Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods by Alex Contarino, Christine Schubert Kabban, Chancellor Johnstone and Fairul Mohd-Zaid (2022)
153. Spatio-Temporal Wildfire Prediction using Multi-Modal Data by Chen Xu1, Yao Xie, Daniel A. Zuniga Vazquez, Rui Yao, and Feng Qiu (2022)
154. Calibrating AI models for few-shot demodulation via conformal prediction Kfir M. Cohen1, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai (2022)
155. Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples Code
156. Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction by Wenlu Tang, Guohao Shen, Yuanyuan Lin and Jian Huang (The Hong Kong Polytechnic University, 2022)
157. Safe Planning in Dynamic Environments using Conformal Prediction by Lars Lindemann, Matthew Cleaveland∗, Gihyun Shim, and George J. Pappas (University of Pensylvania, 2022)
158. Conformal prediction under feedback covariate shift for biomolecular design by Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos,and Michael I. Jordan (2022) 🔥🔥🔥🔥🔥
159. Conformal Predictor for Improving Zero-shot Text Classification Efficiency by Prafulla Kumar Choubey, Yu Bai, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani (Saleforce AI Research and Hugging Face, 2022)
160. Bayesian Optimization with Conformal Coverage Guarantees by Samuel Stanton, Wesley Maddox and Andrew Gordon Wilson (Genentech, New York University, 2022) Code 🔥🔥🔥🔥🔥
161. Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability by Ibai Lanaa, Ignacio (In ̃aki) Olabarrietaa, Javier Del Sera (2022)
162. Training Uncertainty-Aware Classifiers with Conformalized Deep Learning by Bat-Sheva Einbinder, Yaniv Romano, Matteo Sesia and Yanfei Zhou (Technion/UCLA, NeurIPS 2022 paper) 🔥🔥🔥🔥🔥
163. Conformalized Fairness via Quantile Regression by Meichen Liu, Lei Ding, Dengdeng Yu, Wulong Liu, Linglong Kong, Bei Jiang (University of Alberta, Huawei Noah’s Ark Lab Canada, NeurIPS 2022 paper) Code 🔥🔥🔥🔥🔥
164. Engineering Uncertainty Representations to Monitor Distribution Shifts by Thomas Bonnier and Benjamin Bosch (Société Générale, 2022)
165. CONffusion: CONFIDENCE INTERVALS FOR DIFFUSION MODELS ProjectCode by Eliahu Horwitz, Yedid Hoshen (Hebrew University of Jerusalem, 2022) 🔥🔥🔥🔥🔥
166. Semantic uncertainty intervals for disentangled latent spaces by Swami Sankaranarayanan, Anastasios N. Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola (MIT, Berkeley, Technion, 2022) 🔥🔥🔥🔥🔥
167. But are you sure? An uncertainty-aware perspective on explainable AI by Charlie Marx, Youngsuk Park, Hilaf Hasson, Yuyang (Bernie) Wang, Stefano Ermon, Jun Huan (2022)
168. Calibrating AI Models for Wireless Communications via Conformal Prediction by Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone and Shlomo Shamai (2022)
169. Predicting Endocrine Disruption Using Conformal Prediction – A Prioritization Strategy to Identify Hazardous Chemicals with Confidence by Maria Sapounidou, Ulf Norinder and Patrick Andersson (2022)
170. Conformal Loss-Controlling Prediction by Di Wang, Ping Wang, Zhong Ji, Xiaojun Yang, Hongyue Li (2023)
171. ROBUST AND SCALABLE UNCERTAINTY ESTIMATION WITH CONFORMAL PREDICTION FOR MACHINE-LEARNED INTERATOMIC POTENTIALS Code by Yuge Hu, Joseph Musielewicz, Zachary Ulissi, Andrew J. Medford (Georgia Institute of Technology/Carnegie Mellon University, 2022)
172. Clustering of Trajectories using Non-Parametric Conformal DBSCAN Algorithm by Haotian Wang, Jie Gao, Min-ge Xie Rutgers University, 2022)
173. But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI by Charlie Marx, Youngsuk Park, Hilaf Hasson, Yuyang Wang, Stefano Ermon, Jun Huan (2022)
174. Prediction-Powered Inference by Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, Tijana Zrnic (Universify of Berkeley, 2022) code 🔥🔥🔥🔥🔥
175. Conformal Prediction for Trustworthy Detection of Railway Signals by Leo Andeol, Thomas Fel, Florence de Grancey, Luca Mossina (Institute de Mathematiques de Toulouse, SCNF, 2022)
176. Conformal inference is (almost) free for neural networks trained with early stopping by Ziyi Liang, Yanfei Zhou†, Matteo Sesia (University of Southern California, 2022)
177. PAC Prediction Sets for Large Language Models of Code by Adam Khakhar, Stephen Mell, Osbert Bastani (University of Pennsylvania, 2023)
178. Physics Constrained Motion Prediction with Uncertainty Quantification by Renukanandan Tumu, Lars Lindemann†, Truong Nghiem, Rahul Mangharam, (2023)
179. Accelerating difficulty estimation for conformal regression forests by Henrik Bostroem, Henrik Linusson, Tuve Loefstroem, Ulf Johansson (2017)
180. Conformal prediction for exponential families and generalized linear models
181. How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control by Jacopo Teneggi, Matt Tivnan, J Webster Stayman, Jeremias Sulam (John Hopkins University, 2023) Code
182. Localized Conformal Prediction: A Generalized Inference Framework to Conformal Prediction Code R package
183. From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling by Ernsting et.al. (2023)
184. Conformal prediction for STL runtime verification by Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas (University of Pennsylvania/University of Southern California, 2022)
185. Adaptive Conformal Prediction for Motion Planning among Dynamic Agents by Anushri Dixit, Lars Lindemann, Skylar Wei, Matthew Cleaveland, George J Pappas, Joel W Burdick (California Institute of Technology/University of Pennsylvania, 2022)
186. Classification with Valid and Adaptive Coverage Code by Yaniv Romano, Matteo Sesia, Emmanuel Candes (Neurips, 2020) 🔥🔥🔥🔥🔥
187. Risk Control for Online Learning Models by Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano (2023)
188. Derandomized novelty detection with FDR control via conformal e-values by Meshi Bashari, Amir Epstein, Yaniv Romano, and Matteo Sesia (2023) code
189. Sensititivty analysis of individual treatment effects: A robust conformal inference approach Code by Ying Jin, Zhimei Ren and Emmanual Candes (2023)
190. Improving Adaptive Conformal Prediction Using Self-Supervised Learning by Nabeel Seedat, Alan Jeffares, Fergus Imrie and Mihaela van der Schaar (Cambridge, 2023) Video Code
191. [Learning by Transduction - of the of earliest conformal prediction papers] (https://dl.acm.org/doi/10.5555/2074094.2074112#sec-comments) by Alex Gammerman, Vladimir Vovk and Vladimir Vapnik (Royal Holloway, University of London, 1998) 🔥🔥🔥🔥🔥 video
192. Hedging Predictions in Machine Learning by Alexander Gammerman and Vladimir Vovk (2008) 🔥🔥🔥🔥🔥
193. Predicting Aromatic Amine Mutagenicity with Confidence: A Case Study Using Conformal Prediction by Ulf Norinder, Glenn Myatt and Ernst Ahlberg
194. Improved Online Conformal Prediction via Strongly Adaptive Online Learning by Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai (2023) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
195. Fortuna: A Library for Uncertainty Quantification in Deep Learning by Gianluca Detommaso, Alberto Gasparin, Michele Donini, Matthias Seeger, Andrew Gordon Wilson, Cedric Archambeau (2023)
196. Conformal inference is (almost) free for neural networks trained with early stopping by Ziyi Liang, Yanfei Zhou, Matteo Sesia (2023)
197. Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes by Mahmoud Shoush and Marlon Dumas (University of Tartu,2022)
198. Machine-Learning Applications of Algorithmic Randomness by Vladimir Vovk, Alex Gammerman and Craig Saunders (1999) 🔥🔥🔥🔥🔥
199. On the universal distribution of the coverage in split conformal prediction by Paulo C. Marques F. (2023)
200. Lightweight, Uncertainty-Aware Conformalized Visual Odometry by Alex C. Stutts, Danilo Erricolo, Theja Tulabandhula, and Amit Ranjan Trivedi (University of Illinois Chicago, 2023)
201. Group conditional validity via multi-group learning by Samuel Deng, Navid Ardeshir, Daniel Hsu (Columbia University, 2023)
202. Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis by Subhankar Ghosh, Taha Belkhouj, Yan Yan, Janardhan Rao Doppa (Washington State University, 2023)
203. Mondrian conformal regressors by Henrik Boström, Ulf Johansson (2020)
204. Mondrian Conformal Predictive Distributions by Henrik Boström, Ulf Johansson, Tuwe Löfström (2021) 🔥🔥🔥🔥🔥
205. Adaptive Conformal Prediction by Reweighting Nonconformity Score by Salim I. Amoukou, Nicolas J.B Brunel (2023) Code
206. Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation by Heng Yang and Marco Pavone (NVIDIA, 2023)
207. A Two-Sample Conditional Distribution Test Using Conformal Prediction and Weighted Rank Sum by Xiaoyu Hu and Jing Lei (Peking University and Carnegie Mellon University, 2023)
208. Conformalized Semi-Supervised Random Forest For Classification and Abnormality Detection (2023)
209. How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Jacopo Teneggi, Matt Tivnan, J Webster Stayman, Jeremias Sulam (John Hopkins University, 2023)
210. Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction by Shuo Yang, George J. Pappas, Rahul Mangharam, and Lars Lindemann (University of Pennsylvania, 2023)
211. Conformal Prediction Regions for Time Series using Linear Complementarity Programming by Matthew Cleaveland, Insup Lee, George J. Pappas†, and Lars Lindemann (University of Pennsylvania, 2023)
212. Development and Evaluation of Conformal Prediction Methods for QSAR by Yuting Xua, Andy Liawa, Robert P. Sheridan (Merck, 2023)
213. Multi-Agent Reachability Calibration with Conformal Prediction by Anish Muthali1, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire Tomlin (University of Berkeley, 2023)
214. Conformalized Unconditional Quantile Regression by Ahmed M. Alaa, Zeshan Hussain, David Sontag (Berkeley/MIT, 2023).
215. Conformal Off-Policy Evaluation in Markov Decision Processes by Daniele Foffano, Alessio Russo and Alexandre Proutiere (KTH, 2023) 🔥🔥🔥🔥🔥 🌟🌟🌟🌟🌟
216. Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning by Sangwoo Park and Osvaldo Simeone (2023) Code QuantumML 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
217. Probabilistic prediction with locally weighted jackknife predictive system by Di Wang, Ping Wang, Pingping Wang, Cong Wang, Zhen He, Wei Zhang 🔥🔥🔥🔥🔥
218. Post-selection Inference for Conformal Prediction: Trading off Coverage for Precision by Siddhaarth Sarkar, Arun Kumar Kuchibhotla (2023)
219. Conformal Regression in Calorie Prediction for Team Jumbo-Visma by Kristian van Kuijk, Mark Dirksen, Christof Seiler (2023) 🔥🔥🔥🔥🔥slides
220. Design-based conformal prediction by Jerzy Wieczorek (2023) code 🌟🌟🌟🌟🌟
221. Inductive Confidence Machines for Regression by Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, and Alex Gammerman (2002) 🔥🔥🔥🔥🔥📚📚📚📚📚
222. Model-Agnostic Nonconformity Functionsfor Conformal Classification by Ulf Johansson, Henrik Linusson, Tuve Löfström, Henrik Boström (2017) 🔥🔥🔥🔥🔥📚📚📚📚📚
223. Impact of model-agnostic nonconformity functions on efficiency of conformal classifiers: an extensive study by Marharyta Aleksandrova, Oleg Chertov (2021) 🔥🔥🔥🔥🔥📚📚📚📚📚
224. Inductive Conformal Prediciton: A Straightforward Introduction with examples in Python by Martim Sousa (2022) Code 🔥🔥🔥🔥🔥📚📚📚📚📚
225. Closing the Loop on Runtime Monitors with Fallback-Safe MPC by Rohan Sinha, Edward Schmerling, and Marco Pavone (Standord, 2023)
226. Calibrated Explanations: with Uncertainty Information and Counterfactuals by Helena Löfström, Tuwe Löfström, Ulf Johansson, Cecilia S ̈onstr ̈od (2023) Code 🔥🔥🔥🔥🔥
227. Optimizing Hyperparameters with Conformal Quantile Regression by David Salinas, Jacek Golebiowski, Aaron Klein, Matthias Seeger, Cedric Archambeau (Amazon Science, 2023) 🔥🔥🔥🔥🔥
228. Rapid Traversal of Ultralarge Chemical Space using Machine Learning Guided Docking Screens by Andreas Luttens, Israel Cabeza de Vaca, Leonard Sparring, Ulf Norinder, Jens Carlsson (2023) Code Datasets 🔥🔥🔥🔥🔥
229. Predicting skin sensitizers with confidence — Using conformal prediction to determine applicability domain of GARD by Andy Forreryd, Ulf Norinder, Tim Lindberg, Malin Lindstedt (2018) 📚📚📚📚📚
230. Confidence-based Prediction of Antibiotic Resistance at the Patient-level Using Transformers by J.S. Inda-Diaz, A. Johnning, M. Hessel, A. Sjo ̈berg, A. Lokrantz, L. Hellda, M. Jirstrand, L. Svensson and E. Kristiansson (Chalmers University of Technology and University of Gothenburg/Centre for Antibiotic Resistance Research (CARe), 2023) 🔥🔥🔥🔥🔥
231. Framework based on conformal predictors and power martingales for detection of fixed football matches by I. Zhuk, O. Chertov (2023)
232. Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems by Omer Belhasin, Yaniv Romano, Daniel Freedman, Ehud Rivlin, Michael Elad (2023) 🔥🔥🔥🔥🔥
233. Conformalized matrix completion by Yu Gui, Rina Foygel Barber, and Cong Ma (University of Chicago, 2023) 🔥🔥🔥🔥🔥 code
234. Conformal Prediction With Conditional Guarantees by Isaac Gibbs, John Cherian, Emmanuel Candes (Stanford, 2023) code
235. Uncertainty Quantification over Graph with Conformalized Graph Neural Networks by Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec (Stanford, 2023) code 🔥🔥🔥🔥🔥
236. Federated Conformal Predictors for Distributed Uncertainty Quantification by Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar (MIT/Berkeley, 2023) code video 🔥🔥🔥🔥🔥
237. Conformal Prediction with Large Language Models for Multi-Choice Question Answering by Bhawesh Kumar, Charlie Lu, Gauri Gupta, Anil Palepu, David Bellamy, Ramesh Raskar, Andrew Beam (Harvard/MIT, 2023) 🔥🔥🔥🔥🔥
238. Conformal Predictive Distribution Trees by Ulf Johansson, Tuwe Löfström, Henrik Boström (2023) 🔥🔥🔥🔥🔥
239. CONFORMAL PREDICTION WITH PARTIALLY LABELED DATA by Alireza Javanmardi, Yusuf Sale, Paul Hofman, Eyke Hüllermeier (2023)
240. Conformal Prediction for Federated Uncertainty Quantification Under Label Shift by Vincent Plassie, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov (2023)
241. Conformalizing Machine Translation Evaluation by Chrysoula Zerva, André F. T. Martins (2023)
242. Class-Conditional Conformal Prediction With Many Classes by Tiffany Ding, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J. Tibshirani 🔥🔥🔥🔥🔥 (Berkeley, 2023)
243. Conformal Prediction Sets for Graph Neural Networks by Soroush Zargarbashi, Simone Antonelli, Aleksandar Bojchevski Code
244. Conformal link prediction to control the error rate by Ariane Marandon (2023)
245. JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift Drew Prinster, Suchi Saria, Anqi Liu (John Hopkins University, 2023) Code 🔥🔥🔥🔥🔥
246. Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction by Yunchuan Zhang, Sangwoo Park and Osvaldo Simeone (2023)
247. Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners by Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar (Princeton/DeepMind, 2023) Website 🔥🔥🔥🔥🔥
248. Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery by Nicolas Bosc, Francis Atkinson, Eloy Felix, Anna Gaulton, Anne Hersey and Andrew R. Leach (Cambridge, 2019) 🔥🔥🔥🔥🔥
249. Efficiency Comparison of Unstable Transductive and Inductive Conformal Classifiers by Henrik Linusson, Ulf Johansson, Henrik Bostroem, and Tuve Loefstroem (2014)
250. How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Code (John Hopkins University, 2023) 🔥🔥🔥🔥🔥
251. Conformal Test Martingale-Based Change-Point Detection for Geospatial Object Detectors by Gang Wang, Zhiying Lu, Ping Wang, Shuo Zhuang and Di Wang (2023)
252. Plug-in martingales for testing exchangeability on-line by Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Vladimir Vovk (Royal Holloway, UK, ICML 2012) 🔥🔥🔥🔥🔥
253. Testing Exchangeability On-Line by Vladimir Vovk, Ilia Nouretdinov and Alex Gammerman (Royal Holloway, UK, ICML 2003) 🔥🔥🔥🔥🔥
254. Predictive Inference Is Free with the Jackknife+-after-Bootstrap by Byol Kim, Chen Xu, Rina Foygel Barber (University of Chicago, 2020) 🔥🔥🔥🔥🔥
255. Conformal Prediction with Large Language Models for Multi-Choice Question Answering by Bhawesh Kumar, Charles Lu, Gauri Gupta, Anil Palepu, David Bellamy, Ramesh Raskar, Andrew Beam (MIT, 2023) code 🔥🔥🔥🔥🔥
256. CONFORMAL PREDICTIONS ENHANCED EXPERT-GUIDED MESHING WITH GRAPH NEURAL NETWORKS code by Amin Heyrani Nobari, Justin Rey, Suhas Kodali and Matthew Jones (MIT, 2023) website 🔥🔥🔥🔥🔥
257. Approximating Full Conformal Prediction at Scale via Influence Functions by Javier Abad, Umang Bhatt, Adrian Weller, Giovanni Cherubin (Cambridge, Alan Turing Institute, ETH, Microsoft Research, 2023) code video 🔥🔥🔥🔥🔥
258. Robust Uncertainty Quantification using Conformalised Monte Carlo Prediction Code by Daniel Bethell, Simos Gerasimou, Radu Calinescu (University of York, 2023) article code 🔥🔥🔥🔥🔥
259. I do not know! but why?”– Local Model-Agnostic Example-based explanations of reject code by Andre Artelt, Roel Visser and Barbara Hammer (University of Bielefeld, 2023)
260. Approximating Score-based Explanation Techniques Using Conformal Regression by Amr Alkhatib, Henrik Bostroem, Sofiane Ennadir and Ulf Johansson (KTH/Joenkoeping University, 2023) 🔥🔥🔥🔥🔥
261. Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions by Jake C. Snell, Thomas P. Zollo, Zhun Deng, Toniann Pitassi, Richard Zemel (Princeton University, Columbia University, Harvard University, University of Toronto, 2023) 🔥🔥🔥🔥🔥
262. Improving Deep Learning-Based Defect Classification in Solar Cells using Conformal Prediction by Vitus Bødker Thomsen, Claire Mantel, Gisele Benatto, Søren Forchhammer (DTU - Technical University of Denmark, 2023) 🔥🔥🔥🔥🔥
263. Adaptive Conformal Prediction by Reweighting Nonconformity Scores by Salim I. Amoukou and Nicolas J-B. Brunel and Nicolas J-B. Brunel (University Paris Saclay, Stellantis Paris, Quantmetry Paris, 2023) code 🔥🔥🔥🔥🔥
264. Copula-based conformal prediction for Multi-Target Regression by Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau (2021) code 🔥🔥🔥🔥🔥
265. Conformal Meta-learners for Predictive Inference of Individual Treatment Effects by Ahmed Alaa, Zaid Ahmad, and Mark van der Laan (2023) code 🔥🔥🔥🔥🔥
266. Adaptive conformal classification with noisy labels by Matteo Sesia, Y. X. Rachel Wang†, Xin Tong code 🔥🔥🔥🔥🔥
267. Heteroskedastic conformal regression by NICOLAS DEWOLF, BERNARD DE BAETS AND WILLEM WAEGEMAN (2023) 🔥🔥🔥🔥🔥 (UGent, 2023)
268. Closing the Loop on Runtime Monitors with Fallback-Safe MPC by Rohan Sinha, Edward Schmerling, and Marco Pavone (Stanford, 2023) 🔥🔥🔥🔥🔥
269. Conformal Temporal Logic Planning using Large Language Models: Knowing When to Do What and When to Ask for Help project website by Jun Wang, Jiaming Tong, Kaiyuan Tan, Yevgeniy Vorobeychik, Yiannis Kantaros (Washington University in St.Louis and University of Zurich, 2023) 🔥🔥🔥🔥🔥
270. Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method code by Kerstin Lenhof, Lea Eckhart, Nico Gerstner, Tim Kehl & Hans-Peter Lenhof (Saarland University, 2022) 🔥🔥🔥🔥🔥
271. Conformalized Quantile Regression by Yaniv Romano, Evan Patterson, Emmanuel J. Candès (Stanford, 2019) [code](Conformalized Quantile Regression](https://github.com/yromano/cqr) project 🔥🔥🔥🔥🔥
272. Fast nonlinear vector quantile regression by Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano and Alex M. Bronstein (Technion, 2023) code 🔥🔥🔥🔥🔥
273. Testing for Outliers with Conformal p-values by Stephen Bates, Emmanuel Candes,Lihua Lei, Yaniv Romano,Matteo Sesia (Berkeley/Stanford/Technion, 2022) code 🔥🔥🔥🔥🔥
274. Achieving Risk Control in Online Learning Settings by Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano (Technion/Berkeley, 2021) code
275. Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction by Lorin Werthen-Brabants, Tom Dhaene, Dirk Deschrijver (Ghent University, 2023) 🔥🔥🔥🔥🔥
276. Online NoVaS Conformal Volatility Prediction slides by Alejandro Canete (University of Chicago) 🔥🔥🔥🔥🔥 (2023)
277. Market Implied Conformal Volatility Intervals slides by Alejandro Canete (University of Chicago) 🔥🔥🔥🔥🔥 (2023)
278. PUNCC: a Python Library for Predictive Uncertainty Calibration and Conformalization slides code 🔥🔥🔥🔥🔥
279. The Venn-ABERS Testing for Change-Point Detection slides by Ilia Nouretdinov and Alex Gammerman (Royal Holloway, 2023) 🔥🔥🔥🔥🔥
280. A Review of Nonconformity Measures for Conformal Prediction in Regression slides by Yuko Kato, David M.J. Tax, Marco Loog (Delft University of Technology, Radboud University, Nijmegen, Netherlands, 2023)
281. Approximating Score-based Explanation Techniques Using Conformal Regression slides by Amr Alkhatib, Henrik Bostroem, Sofiane Ennadir, Ulf Johansson (KTH, Joenkoeping University, 2023).
282. Mondrian Predictive Systems for Censored Data slides by Henrik Bostroem, Henrik Linusson, Anders Vesterberg (KTH, Ekkono Solutions AB, Scania CV AB, Sweden 2023).
283. Evaluating Machine Translation Quality with Conformal Predictive Distributions slides by Patrizio Giovannotti (Royal Holloway, UK) 🔥🔥🔥🔥🔥
284. Confidence Calibration for Systems with Cascaded Predictive Modules by Yunye Gong, Yi Yao, Xiao Lin, Ajay Divakaran, Melinda Gervasio (SRI International, 2023)
285. TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images by Benjamin Lambert, Florence Forbes, Senan Doyle, and Michel Dojat (Grenoble Institut Neurosciences / Univ. Grenoble Alpes, Pixyl, 2023) 🔥🔥🔥🔥🔥
286. Conformal Predictions for longitudinal data by Devesh Batra, Salvatore Mercuri and Raad Khraishi (Data Science & Innovation - NatWest Group, Institute of Finance and Technology, UCL, UK, 2023) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 code
287. Distribution-free risk assessment of regression-based machine learning algorithms by Sukrita Singh, Neeraj Sarna, Yuanyuan Li, Yang Lin, Agni Orfanoudaki (University of Oxford / MunichRe, 2023).
288. CONFORMAL PREDICTION FOR DEEP CLASSIFIER VIA LABEL RANKING by Jianguo Huang, Huajun Xi, Linjun Zhang, Huaxiu Yao, Yue Qiu, Hongxin Wei (Southern University of Science and Technology, ShanghaiTech University, Rutgers University, University of North Carolina at Chapel Hill, Chongqing University) 🔥🔥🔥🔥🔥 code
289. On the Expected Size of Conformal Prediction Sets by Guneet S. Dhillon, George Deligiannidis, Tom Rainforth (University of Oxford, 2023) code🔥🔥🔥🔥🔥
290. Clinical AI tools must convey predictive uncertainty for each individual patient (2023)🔥🔥🔥🔥🔥
291. Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification by Paul Melki, Lionel Bombrun, Boubacar Diallo, Jérôme Dias, Jean-Pierre Da Costa by EXXACT Robotics (2023) 🔥🔥🔥🔥🔥
292. Guaranteed Coverage Prediction Intervals with Gaussian Process Regression by Harris Papadopoulos (2023) 🔥🔥🔥🔥🔥
293. Conformal prediction with missing values by Margaux Zaffran, Aymeric Dieuleveut, Julie Joss, Yaniv Romano (2023) Video summary code 🔥🔥🔥🔥🔥
294. TRIAGE: Characterizing and auditing training data for improved regression by Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar (University of Cambridge, 2023) code) 🔥🔥🔥🔥🔥
295. Conformal PID Control for Time Series Prediction by Anastasios N. Angelopoulos, Emmanuel J. Candes, Ryan J. Tibshirani (Berkeley/Stanford, NeurIPS2023) code
296. Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model by Jiankai Sun, Jiankai_Sun, Yiqi Jiang, Jianing Qiu, Parth Talpur Nobel, Mykel Kochenderfer, Mac Schwager (Staford, Imperial College, 2023)
297. CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift by Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun (University of Illinois Urbana-Champaign, 2023)
298. PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar (NVIDIA Research, Harvard, Princeton, Stanford 2023) 🔥🔥🔥🔥🔥
299. Conformal Prediction Sets for Ordinal Classification by Prasenjit Dey, Srujana Merugu, Sivaramakrishnan Kaveri (Amazon, 2023) 🔥🔥🔥🔥🔥
300. Beyond Confidence: Reliable Models Should Also Consider Atypicality by Mert Yuksekgonul, Linjun Zhang, James Zou, Carlos Guestrin (Stanford/Rutgers) code 🔥🔥🔥🔥🔥
301. On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning by Paul Scemama, Ariel Kapusta (The Mitre Corporation, 2023)
302. A powerful rank-based correction to multiple testing under positive dependency by Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric Nalisnick (Bosch AI, 2023)
303. Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models by Thomas P. Zollo, Todd Morrill, Zhun Deng, Jake C. Snell, Toniann Pitassi, Richard Zemel (Columbia University, 2023) 🔥🔥🔥🔥🔥
304. Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection by Rahul Vishwakarma, Amin Rezaei (California State University, 2023) 🔥🔥🔥🔥🔥
305. Uncertainty quantification in automated valuation models with locally weighted conformal prediction by Anders Hjort, Gudmund Horn Hermansen, Johan Pensar, Jonathan P. Williams (University of Oslo, North Carolina State University, 2023) 🔥🔥🔥🔥🔥
306. Multi-Modal Conformal Prediction Regions by Optimizing Convex Shape Templates by Renukanandan Tumu, Matthew Cleaveland, Rahul Mangharam, George J. Pappas, Lars Lindemann code (University of Pennsylvania, 2023) 🔥🔥🔥🔥🔥
307. Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction by Albert Lin, Somil Bansal (University of Southern California, 2023) 🔥🔥🔥🔥🔥
308. Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms code by Joren Brunekreef, Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen (The Netherlands Cancer Institute, University of Amsterdam) (2023)
309. Forecasting CPI inflation under economic policy and geo-political uncertainties by Shovon Sengupta, Tanujit Chakraborty, Sunny Kumar Singh (Fidelity Investments, Sorbonne University, BITS Pilani Hyderabad). (2023) 🔥🔥🔥🔥🔥code
310. Conformal prediction of option prices by Bastas Joao (University of Lisbon, 2023) 🔥🔥🔥🔥🔥
311. Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction by Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai (Iowa University, Pennsylvania State University, Georgia Institute of Technology (2024).
312. Greek Proverbs: Computational Spatial Attribution by John Pavlopoulos and Panos Louridas, Athens University of Economics and Business, Greece (2024)
313. Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations by Bingkai Wang, Fan Li and Mengxin (University of Michigan, Yale, University of Pennsylvania)
314. Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes by Victor Dheur, Tanguy Bosser, Rafael Izbicki, Souhaib Ben Taieb (Universidade Federal de Sao Carlos, Brazil and University of Mons, Belgium, 2024) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
315. Predicting Random Walks and a Data-Splitting Prediction Region by Mulubrhan G. Haile, Lingling Zhang, and David J. Olive (Westminster College, University of Albany, Southern Illinois University)
316. [Conformal Prediction via Regression-as-Classification](Conformal Prediction via Regression-as-Classification](https://openreview.net/forum?id=eKrYMGpXVY) by Etash Guha, Thomas Moellenhoff, Eugene Ndiaye, Shlok Natarajan (RIKEN Center for AI Project Tokyo, Japan, Salesforce, Apple, 2024)
317. Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees by Edgar Jaber, Vincent Blot, Nicolas Brunel, Vincent Chabridon, Emmanuel Remy, Bertrand Iooss, Didier Lucor, Mathilde Mougeot, Alessandro Leite (EDF R&D, Quantmetry, Paris-Saclay University, ENSIIE, Institut de Math ́ematiques de Toulouse, TAU, INRIA, 2024) code 🔥🔥🔥🔥🔥
318. Integrating Uncertainty Awareness into Conformalized Quantile Regression code by Raphael Rossellini, Rina Foygel Barber and Rebecca Willett (University of Chicago, 2023) code 🔥🔥🔥🔥🔥
319. Conformal Prediction Sets Improve Human Decision Making by Jesse C. Cresswell, Yi Sui, Bhargava Kumar, Noel Vouitsis (Layer 6 AI, TD Securities, 2024)
320. Benchmarking LLMs via Uncertainty Quantification by Fanghua Ye, Mingming Yang, Jianhui Pang, Longyue Wang, Derek F. Wong, Emine Yilmaz, Shuming Shi, Zhaopeng Tu (Tencent AI Lab, University College London, University of Macau 2024).
321. ACHO: Adaptive Conformal Hyperparameter Optimization by Ricardo Doyle (2023) 🔥🔥🔥🔥🔥 code
322. Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In-Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction by John Waczak, Adam Aker, Lakitha O. H. Wijeratne, Shawhin Talebi, Bharana Fernando, Prabuddha Hathurusinghe, Mazhar Iqbal, David Schaefer, David J. Lary (University of Texas Dallas, 2024)
323. Non-Exchangeable Conformal Language Generation with Nearest Neighbors by Dennis Ulmer, Chrysoula Zerva, André F.T. Martins (IT University of Copenhagen, Instituto Superior Técnico, Universidade de Lisboa, 2024) code 🔥🔥🔥🔥🔥
324. Group-Weighted Conformal Prediction by Aabesh Bhattacharyya, Rina Foygel Barber (University of Chicago, 2024)
325. Conformal Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects by Jef Jonkers, Jarne Verhaeghe, Glenn Van Wallendael, Luc Duchateau, Sofie Van Hoecke (Ghent University, 2024) code
326. Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series by Zitong Yang, Emmanuel Candès, Lihua Lei (Stanford, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 code
327. TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation) by James Zou, Eric Sun, Rong Ma, Anne Brunet, and Paloma Navarro Negredo (Stanford, Harvard, 2024) code
328. Conformal Predictive Programming for Chance Constrained Optimization by Yiqi Zhao, Xinyi Yu, Jyotirmoy V. Deshmukh and Lars Lindemann (University of Southern California. 2024) 🔥🔥🔥🔥🔥
329. Introspective Planning: Guiding Language-Enabled Agents to Refine Their Own Uncertainty by Kaiqu Liang, Zixu Zhang, Jaime Fernandez Fisac(Princeton, 2024) 🔥🔥🔥🔥🔥
330. Regression Trees for Fast and Adaptive Prediction Intervals by Luben M. C. Cabezasa, Mateus P. Ottoa, Rafael Izbicki, Rafael B. Sternc (Federal University of São Carlos, University of São Paulo,2024) code 🔥🔥🔥🔥🔥
331. Self-Consistent Conformal Prediction by Lars van der Laan, Ahmed M. Alaa (University of Southern California, 2024) 🔥🔥🔥🔥🔥
332. Conformal Prediction via Regression-as-Classification by Etash Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugene Ndiaye (RIKEN AIP, Salesforce, Apple, SambaNova Systems, 2023) code 🔥🔥🔥🔥🔥
333. Safe Task Planning for Language-Instructed Multi-Robot Systems using Conformal Prediction by Jun Wang, Guocheng He, and Yiannis Kantaros (Washington University in St Louis, 2024).
334. Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks by Christian Moya, Amirhossein Mollaali, Zecheng Zhang, Lu Lu, Guang Lin (Purdue University, Florida State University, Yale, 2024) 🔥🔥🔥🔥🔥
335. API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access by Jiayuan Su, Jing Luo, Hongwei Wang, Lu Cheng (Zhejiang University, University of Illinois Urbana-Champaign Institute, University of Illinois Chicago, 2024) 🔥🔥🔥🔥🔥
336. Conformal Language Modeling) by Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay (MIT, Berkeley, Google Research, UC San Francisco, 2023) 🔥🔥🔥🔥🔥
337. A Safety-Critical Framework for UGVs in Complex Environments: A Data-Driven Discrepancy-Aware Approach by Skylar X. Wei, Lu Gan, Joel W. Burdick (California Institute of Technology,Georgia Institute of Technology, 2024) 🔥🔥🔥🔥🔥
338. Conformal prediction for multi-dimensional time series by ellipsoidal sets by Chen Xu, Hanyang Jiang, and Yao Xie (Georgia Tech, 2024) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
339. Conformal prediction of molecule-induced cancer cell growth inhibition challenged by strong distribution shifts by Saiveth Hernandez-Hernandez, Qianrong Guo, Pedro Ballester (Imperial College, 2024) 🔥🔥🔥🔥🔥
340. Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model by Rui Xu, Yue Sun, Chao Chen, Parv Venkitasubramaniam, Sihong (The Hong Kong University of Science and Technology (Guangzhou), Lehigh University, Bethlehem, 2024) 🔥🔥🔥🔥🔥
341. Conformal link prediction for false discovery rate control by Ariane Marandon (Sorbonne Université, 2024)
342. Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction by Justin Lidard, Ariel Bachman, Bryan Boateng, Anirudha Majumdar (Princeton, 2024) 🔥🔥🔥🔥🔥
343. Predictive Inference in Multi-environment Scenarios by John C. Duchi, Suyash Gupta, Kuanhao Jiang, Pragya Sur (Stanford, Harvard, Amazon, 2024)
344. Conformal online model aggregation by Matteo Gasparin, Aaditya Ramdas (Carnegie Mellon University, University of Padova, 2024)
345. Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition by Floris den Hengst, Ralf Wolter, Patrick Altmeyer, Arda Kaygan (University of Amsterdam, ING, 2024) 🔥🔥🔥🔥🔥
346. Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data by Xin Zou, Weiwei Liu (Wuhan University. 2024)
347. Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets by Yvet Renkema, Nico Brinkel & Tarek Alskaif (Wageningen University, Utrecht University, 2024). 🔥🔥🔥🔥🔥
348. FDR control and FDP bounds for conformal link prediction by Gilles Blanchard, Guillermo Durand, Ariane Marandon-Carlhian, Romain Périer (University of Paris-Saclay, The Allan Turing Institute).
349. Postprocessing of point predictions for probabilistic forecasting of electricity prices: Diversity matters by Arkadiusz Lipiecki, Bartosz Uniejewski, Rafał Weron (Wrocław University of Science and Technology, 2024)
350. Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets by Christopher Katha, Florian Ziel (University Duisburg-Essen, 2020)
351. On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices by Alessandro Brusaferria, Andrea Ballarinoa, Luigi Grossib, Fabrizio Laurini (CNR, Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, Universoty of Parma 2024) 🔥🔥🔥🔥
352. Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets by Christopher Katha, Florian Ziel (University Duisburg-Essen, 2020)
353. A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests by Jef Jonkers, Diego Nieves Avendano, Glenn Van Wallendael, Sofie Van Hoecke (Ghent University, 2024)
354. CONFLARE: CONFormal LArge language model REtrieval by Pouria Rouzrokh, Shahriar Faghani, Cooper Gamble, Moein Shariatnia, Bradley J. Erickson (Mayo Clinic Artificial Intelligence Laboratory; Orthopedic Surgery Artificial Intelligence Laboratory, Mayo Clinic, MN, USA; Tehran University of Medical Sciences) code video 🔥🔥🔥🔥
355. WaveCatBoost for Probabilistic Forecasting of Regional Air Quality Data by Jintu Borah, Tanujit Chakraborty, Md. Shahrul Md. Nadzir, Mylene G. Cayetano, Shubhankar Majumdar (Sorbonne University, NIT Meghalaya, Universiti Kebangsaan, University of Philippines, 2024) code 🔥🔥🔥🔥
356. Pricing Catastrophe Bonds --- a Probabilistic Machine Learning Approach by Xiaowei Chen, Hong Li, Yufan Lu, Rui Zhou (Nankai University, University of Guelph, The University of Melbourne, 2024)
357. Adaptive Conformal Prediction Intervals Using Data-Dependent Weights With Application to Seismic Response Prediction by Parisa Hajibabaee; Farhad Pourkamali-Anaraki; Mohammad Amin Hariri-Ardebili (Parisa Hajibabaee; Farhad Pourkamali-Anaraki; Mohammad Amin Hariri-Ardebili (Florida Polytechnic University, University of Colorado Denver, University of Maryland, 2024)
358. Ensemble Predictors: Possibilistic Combination of Conformal Predictors for Multivariate Time Series Classification
359. Enhancing the reliability of probabilistic PV power forecasts using conformal prediction by Yvet Renkema, Lennard Visser, Tarek AlSkaif (Wageningen University, Utrecht University, 2024)
360. Random Projection Ensemble Conformal Prediction for High-Dimensional Classification by Xiaoyu Qian, Jinru Wu, Ligong Wei, Youwu Lin )Guilin University of Electronic Technology, Guangxi Academy of Sciences, Guilin University of Electronic Technology, 2024)
361. Conformal Predictive Systems Under Covariate Shift by Jef Jonkers, Glenn Van Wallendael, Luc Duchateau, Sofie Van Hoecke (hent University, Belgium) code 🔥🔥🔥🔥🔥
362. Metric-guided Image Reconstruction Bounds via Conformal Prediction by Matt Y Cheung, Tucker J Netherton, Laurence E Court, Ashok Veeraraghavan, Guha Balakrishnan (The University of Texas MD Anderson Cancer Cente, 2024)
363. Training-Conditional Coverage Bounds for Uniformly Stable Learning Algorithms by Mehrdad Pournaderi, Yu Xiang (University of Utah, 2024)
364. Safe POMDP Online Planning among Dynamic Agents via Adaptive Conformal Prediction by Shili Sheng, Pian Yu, David Parker, Marta Kwiatkowska, Lu Feng (University of Oxford, 2024)
365. Conformal Prediction of Motion Control Performance for an Automated Vehicle in Presence of Actuator Degradations and Failures by Richard Schubert, Marvin Loba, Jasper Sünnemann, Torben Stolte, Markus Maurer (TU Braunschweig, 2024)
366. Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction by Paulo Henrique dos Santos, Valéria de Carvalho Santos, Eduardo José da Silva Luz (Universidade Federal de Ouro Preto e Instituto Tecnol´ogico Vale, Universidade Federal de Ouro Preto, Brazil 🇧🇷, 2024)
367. From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance by Sebastian Jäger, Felix Biessmann (Berlin University of Applied Sciences and Technology (BHT), Einstein Center Digital Future 🇩🇪, 2024) code 🔥🔥🔥🔥🔥
368. Online Calibrated and Conformal Prediction Improves Bayesian Optimization Shachi Deshpande, Charles Marx, Volodymyr Kuleshov (Cornell University, Stanford, 🇺🇸, 2024)
369. Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling by Dongping Zhang, Angelos Chatzimparmpas, Negar Kamali, Jessica Hullman (Northwestern University, 🇺🇸, 2024) code 🔥🔥🔥🔥🔥
370. Adaptive Conformal Regression with Split-Jackknife+ Scores by Nicolas Deutschmann, Mattia Rigotti, María Rodríguez Martínez (IBM Research, 2023)
371. Comparison of Scaling Methods to Obtain Calibrated Probabilities of Activity for Protein–Ligand Predictions by Lewis H. Mervin, Avid M. Afzal, Ola Engkvist, and Andreas Bender (2020)
372. Conformal Prediction for Natural Language Processing: A Survey by Margarida Campos, António Farinhas, Chrisoula Zerva, Mario Figueiredo, Andre Martins (Instituto de Telecomunicações, Instituto Superior Técnico, LUMLIS (Lisbon ELLIS Unit), Unbabel, Portugal, 2024) 🔥🔥🔥🔥🔥
373. Mitigating LLM Hallucinations via Conformal Abstention by Yasin Abbasi Yadkori, Ilja Kuzborskij, David Stutz, András György, Adam Fisch, Arnaud Doucet, Iuliya Beloshapka, Wei-Hung Weng, Yao-Yuan Yang, Csaba Szepesvári, Ali Taylan Cemgil, Nenad Tomasev (2024)
374. CarbonCP: Carbon-Aware DNN Partitioning with Conformal Prediction for Sustainable Edge Intelligence by Hongyu Ke, Wanxin Jin, Haoxin Wang (Georgia State University, Arizona State University, 2024)
375. Conformalized Ordinal Classification with Marginal and Conditional Coverage by Subhrasish Chakraborty, Chhavi Tyagi, Haiyan Qiao, Wenge Guo (New Jersey Institute of Technology, California State University San Bernardino, 2024)
376. An Information Theoretic Perspective on Conformal Prediction by Alvaro H.C. Correia, Fabio Valerio Massoli, Christos Louizos, Arash Behboodi (Qualcomm AI Research, 2024)
377. Conformal Prediction with Learned Features by Shayan Kiyani, George Pappas, Hamed Hassani (University of Pennsylvania, 2024)
378. Onboard Out-of-Calibration Detection of Deep Learning Models using Conformal Prediction by Protim Bhattacharjee, Peter Jung (Optical Sensor Systems, German Aerospace Center, 2024)
379. A Conformal Prediction Score that is Robust to Label Noise by Coby Penso, Jacob Goldberger (Bar-Ilan University, Israel, 2024)
380. Building consumption anomaly detection: A comparative study of two probabilistic approaches by Davor Stjelja, Vladimir Kuzmanovski, Risto Kosonen, Juha Jokisalo (Aalto University, Granlund Oy, Vaisala Oyj, Nanjing Tech University,2024)
381. Robust Route Planning under Uncertain Pickup Requests for Last-mile Delivery by Hua Yan, Heng Tan, Desheng Zhang, Haotian Wang, Yu Yang (Lehigh University, Rutgers University, USA; JD Logistics, Beijing, China)
382. Improve robustness of machine learning via efficient optimization and conformal prediction by Yan Yan (Washington State University, 2024)
383. Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration by Shi-ang Qi, Yakun Yu, Russell Greiner (University of Alberta, 2024)
384. Conformal Online Auction Design by Jiale Han, Xiaowu Dai (University of California, 2024)
385. Conformal Validity Guarantees Exist for Any Data Distribution by Drew Prinster, Samuel Stanton, Anqi Liu, Suchi Saria (John Hopkins University Genentech, 2024) code 💎💎💎💎💎🔥🔥🔥🔥🔥
386. Kernel-based optimally weighted conformal prediction intervals by Jonghyeok Lee, Chen Xu, Yao Xie (Georgia Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
387. Reliable anti-cancer drug sensitivity prediction and prioritization by Kerstin Lenhof, Lea Eckhart, Lisa-Marie Rolli, Andrea Volkamer & Hans-Peter Lenhof (Saarland University, 2024)
388. Robust Conformal Prediction Using Privileged Information by Shai Feldman, Yaniv Romano (2024)
389. Conformal Inference for Online Prediction with Arbitrary Distribution Shifts by Isaac Gibbs, Emmanuel J. Candès code (2024) 🔥🔥🔥🔥🔥
390. Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift by Huiqun Huang, Sihong He, Fei Miao (University of Connecticut, 2024)
391. Conditional Shift-Robust Conformal Prediction for Graph Neural Network by Akansha Singh (Manipal Academy of Higher Education (MAHE) - Manipal Institute of Technology, 2024)
392. Conformal Inference for Online Prediction with Arbitrary Distribution Shifts by Isaac Gibbs, Emmanuel J. Candès (Stanford, 2024) 🔥🔥🔥🔥🔥
393. Conformal prediction for multi-dimensional time series by ellipsoidal sets by Chen Xu, Hanyang Jiang, Yao Xie (Georgia Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
394. Kernel-based optimally weighted conformal prediction intervals Jonghyeok Lee, Chen Xu, Yao Xie (Georgia Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
395. Transformer Conformal Prediction for Time Series by Junghwan Lee, Chen Xu, Yao Xie (Georgia Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 code
396. Identifying Homogeneous and Interpretable Groups for Conformal Prediction by Natalia Martinez, Dhaval C Patel, Chandra Reddy, Giridhar Ganapavarapu, Roman Vaculin, Jayant Kalagnanam (IBM Research, 2024)
397. Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing by Nicola Franco, Jakob Spiegelberg, Jeanette Miriam Lorenz, Stephan Günnemann (Fraunhofer Institute for Cognitive Systems IKS, Munich, Germany; Volkswagen Group Innovation; Technical Univ. of Munich, 2024)
398. [Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions](Michelle Zhao, Reid Simmons, Henny Admoni, Andrea Bajcsy) by Michelle Zhao, Reid Simmons, Henny Admoni, Andrea Bajcsy (Robotics Institute, Carnegie Mellon University, 2024)
399. Conformal Load Prediction with Transductive Graph Autoencoders by Rui Luo, Nicolo Colombo (City University of Hong Kong; Royal Holloway, University of London, 2024) code
400. Conformal Recursive Feature Elimination by Marcos Lopez-De-Castro, Alberto Garcıa-Galindo, Ruben Armananzas (Universidad de Navarra, 2024)
401. Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference Carlos Sebastiana,Carlos E. Gonzalez-Guillenc, Jesus Juane (Fortia Energıa, Universidad Politecnica de Madrid, Instituto de Ciencias Matematicas, Madrid) code (2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
402. Conformal time series decomposition with component-wise exchangeability by Derck W. E. Prinzhorn, Thijmen Nijdam, Putri A. van der Linden, Alexander Timans (University of Amsterdam, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 code
403. Safe Task Planning for Language-Instructed Multi-Robot Systems using Conformal Prediction Jun Wang, Guocheng He, Yiannis Kantaros (Washington University in St Louis, 2024)
404. Online Calibrated and Conformal Prediction Improves Bayesian Optimization by Shachi Deshpande, Charles Marx, Volodymyr Kuleshov (Cornell Tech and Cornell University, Stanford, 2024)
405. An Information Theoretic Perspective on Conformal Prediction by Alvaro H.C. Correia Fabio Valerio Massoli Christos Louizos† Arash Behboodi (Qualcomm AI Research, 2024)
406. Conformal Prediction for Natural Language Processing: A Survey by Margarida M. Campos, António Farinhas, Chrysoula Zerva, Mário A.T. Figueiredo, André F.T. Martins (Instituto de Telecomunicações, Instituto Superior Técnico, LUMLIS (Lisbon ELLIS Unit), Unbabel, 2024)
407. Conformal Prediction for Causal Effects of Continuous Treatments by Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Heß, Valentyn Melnychuk, Stefan Feuerriegel (LMU Munich, 2024) 🔥🔥🔥🔥🔥
408. Uncertainty-Aware Decarbonization for Datacenters by Amy Li, Sihang Liu, Yi Ding (Uiversity of Waterloo, 2024)
409. Conditionally valid Probabilistic Conformal Prediction by Vincent Plassier, Alexander Fishkov, Maxim Panov, Eric Moulines (Lagrange Mathematics and Computing Research Center, Mohamed bin Zayed University of Artificial Intelligence, CMAP, Ecole Polytechnique, Skolkovo Institute of Science and Technology (2024)
410. Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. by Harrie Oosterhuis,Zhen Qin, Xuanhui Wang, Rolf Jagerman, Michael Bendersky, (Radbound University, Google Research, 2024)
411. Trustworthy Classification through Rank-Based Conformal Prediction Sets by Rui Luo, Zhixin Zhou (City University of Hong Kong, 2024)
412. Distributionally robust risk evaluation with an isotonic constraint by Yu Gui, Rina Foygel Barber, Cong Ma (University of Chicago, 2024) code
413. Split Conformal Prediction under Data Contamination by Jase Clarkson, Wenkai Xu, Mihai Cucuringu, Gesine Reinert code
414. Weighted Aggregation of Conformity Scores for Classification by Rui Luo, Zhixin Zhou (2024)
415. Meta-Analysis with Untrusted Data by Shiva Kaul, Geoffrey J. Gordon (Carnegie Mellon, 2024)
416. Robust Yet Efficient Conformal Prediction Sets by Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski (University of Cologne, 2024)
417. Learning Cellular Network Connection Quality with Conformal by Hanyang Jiang, Elizabeth Belding, Ellen Zegure, Yao Xie (Universiry of Georgia, 2024)
418. Conformal Thresholded Intervals for Efficient Regression by Rui Luo, Zhixin Zhou (City University of Hong Kong, 2024)
419. Conformal Predictions under Markovian Data by Frédéric Zheng, Alexandre Proutiere (KTH, 2024)
420. Entropy Reweighted Conformal Classification by Rui Luo, Nicolo Colombo (City University of Hong Kong, Hong Kong, Royal Holloway, University of London). 🔥🔥🔥🔥🔥
421. SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning by Jianpeng Yao, Xiaopan Zhang, Yu Xia, Zejin Wang, Amit K. Roy-Chowdhury, Jiachen Li (University of California, Riverside) project
422. Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them) by Drew Prinster, Samuel Stanton, Anqi Liu, Suchi Saria (John Hopkins University, Genentech, 2024) video
423. Robust Conformal Volume Estimation in 3D Medical Images by Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat (University Grenoble Alps, 2024) code
424. A CONFORMALIZED LEARNING OF A PREDICTION SET WITH APPLICATIONS TO MEDICAL IMAGING CLASSIFICATION by Roy Hirsch, Jacob Goldberger (Bar-Ilan University, Ramat-Gan, Israel, 2024)
425. Quantifying uncertainty in climate projections with conformal ensembles by Trevor Harris, Ryan Sriver (Texas A&M University, University of Illinois at Urbana Champaign, 2024) 🔥🔥🔥🔥🔥
426. CONFORMALIZED INTERVAL ARITHMETIC WITH SYMMETRIC CALIBRATION by Rui Luo and Zhixin Zhoi (City University of Hong Kong, 2024) code 🔥🔥🔥🔥🔥
427. Split Conformal Prediction and Non-Exchangeable Data by Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos, João Vitor Romano (IMPA, Brazil, 2024) code
428. PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification by Alek Frohlic, Thiago Ramos, Gustavo Cabello, Isabela Buzatto, Rafael Izbicki, Daniel Tiezzi (UFSC, Florianopolis, UFSCar, Sao Carlos, USP, Ribeirao Preto, Brazil) (2024)
429. Conformal Prediction in Dynamic Biological Systems by Alberto Portela, Julio R. Banga, Marcos Matabuena (Spanish National Research Council, Harvard University) (2024)
430. Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification by Kangdao Liu, Tianhao Sun, Hao Zeng, Yongshan Zhang, Chi-Man Pun, Chi-Man Vong (University of Macau, Southern University of Science and Technology, China University of Geosciences, 2024)
431. Formal Verification and Control with Conformal Prediction by Lars Lindemann, Yiqi Zhao, Xinyi Yu, George J. Pappas, Jyotirmoy V. Deshmukh (University of Southern California, University of Pennsylvania) (2024)
432. Segmentation uncertainty with statistical guarantees in prostate MRI Kevin Mekhaphan Nguyen, Alvaro Fernandez-Quilez, University of Stavanger, Norway. Stavanger University Hospital, Stavanger, Norway (2024)
433. Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction by Biraja Ghoshal, William Woof, Bernardo Mendes et al (University College London Institute of Ophthalmology, Moorfields Eye Hospital, Oxford Eye Hospital, Oxford, United Kingdom, Laboratory of Visual Physiology, Division of Vision Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Japan, St Paul’s Eye Unit, Liverpool University Hospitals NHS Foundation Trust,Liverpool, United Kingdom, Department of Ophthalmology and Visual Sciences, Escola Paulista de Medicina, Federal University of Sao Paulo, São Paulo, SP, Brazil, Department of Ophthalmology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms Universität Bonn, Germany, 2024). 🔥🔥🔥🔥🔥
434. Measuring the Confidence of Single-Point Traffic Forecasting Models: Techniques, Experimental Comparison, and Guidelines Toward Their Actionability 🔥🔥🔥🔥
435. Conformal Multilayer Perceptron-Based Probabilistic Net-Load Forecasting for Low-Voltage Distribution Systems with Photovoltaic Generation by Anthony Faustine and Lucas Pereira, Center for Intelligent Power (CIP), Eaton Corporation, Dublin, Ireland; †ITI, LARSyS, Tecnico Lisboa, Lisbon, Portugal (2024)
436. Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference by Hengrui Cai, Huaqing Jin, Lexin Li (University of California Irvine, University of California San Francisco, University of California Berkeley, 2024).
437. Quantifying Aleatoric and Epistemic Dynamics Uncertainty via Local Conformal Calibration by Luís Marques, Dmitry Berenson (University of Michigan, Ann Arbour, USA) project
438. On the uncertainty of real estate price predictions by João A. Bastos, Jeanne Paquette (University of Lisbon, Portugal, 2024)
439. Adaptive Uncertainty Quantification for Generative AI by Jungeum Kim, Sean O'Hagan, Veronika Rockova (University of Chicago, 2024) code
440. Localized Conformal Prediction: A Generalized Inference Framework to Conformal Prediction by Leying Guan (Yale University, 2022) 🔥🔥🔥🔥🔥
441. Split Localized Conformal Prediction by Xing Han Ziyang Tang Joydeep Ghosh Qiang Liu (University of Texas at Austin, 2022) code
442. Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection by Yujin Han, Mingwenchan Xu, Leying Guan (Universtity of Hong Kong, Northwestern University, Yale University, 2024) code
443. Length Optimization in Conformal Prediction by Shayan Kiyani, George Pappas, Hamed Hassani (University of Pennsylvania,2024) code 🔥🔥🔥🔥🔥
444. Adjusting Regression Models for Conditional Uncertainty Calibration by Ruijiang Gao, Mingzhang Yin, James McInerney, Nathan Kallus (Naveen Jindal School of Management, University of Texas at Dallas, University of Florida, Gainesville, Netflix, Cornell University, 2024) code 🔥🔥🔥🔥🔥
445. Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction by Jeffrey Wen, Rizwan Ahma. Philip Schniter (The Ohio State University) code
446. Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction by Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric Nalisnick (University of Amsterdam, Bosch Centre for AI, 2024)
447. Robust Conformal Prediction Using Privileged Information by Shai Feldman, Yaniv Romano (Technion, 2024) NeurIPS2024
448. Self-Consistent Conformal Prediction by Lars van der Laan, Ahmed M. Alaa (University of Washington, Berkeley, 2024) 🔥🔥🔥🔥🔥
449. Similarity-Navigated Conformal Prediction for Graph by Jianqing Song, Jianguo Huang,Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang (Nanjing University, Southern University of Science and Technology, ShanghaiTech University, 2024)
450. Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration by Yuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Janardhan Rao Doppa, Yan Yan (Washington State University, 2024)
451. Detecting Railway Track Irregularities Using Conformal Prediction by Andreas Plesner, Allan P. Engsig-Karup, Hans True (ETH Zurich, Technical University of Denmark, 2024)
452. CoPAL: Conformal Prediction for Active Learning with Application to Remaining Useful Life Estimation in Predictive Maintenance by Zahra Kharazian, Tony Lindgren, Sindri Magnusson, Henrik Bostrom (KTH Royal Institute of Technology, Stockholm University, Sweden, 2024)
453. ConForME: Multi-horizon conformal time series forecasting by Aloysio Galvao Lopes, Eric Goubault, Sylvie Putot, Laurent Pautet (Institut Polytechnique de Paris, LTCI, Telecom Paris, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
454. [PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification]
455. Unsupervised radiometric change detection from synthetic aperture radar images Thomas Bultingaire , Inès Meraoumia, Christophe Kervazo, Loïc Denis, Florence Tupin (LTCI, Tel´ ecom Paris, Institut Polytechnique de Paris, Universite Jean Monnet Saint-Etienne, CNRS, Institut d’Optique Graduate School, Laboratoire Hubert Curien, France 2024)
456. Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints by Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Petar Popovski, Osvaldo Simeone (King's College London, UK, Aaborg University, Denmark).
457. Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction by Jeffrey Wen, Rizwan Ahmad, Phillip Schniter code
458. Self-Calibrating Conformal Prediction by Lars van der Laan, Ahmed M. Alaa (University of Washington, Berkeley, 2024)
459. Boosted Conformal Prediction Intervals by Ran Xie, Rina Foygel Barber, Emmanuel J. Candès (Stanford, University of Chicago, 2024)
460. Verifiably Robust Conformal Prediction by Linus Jeary, Tom Kuipers, Mehran Hosseini, Nicola Paoletti (King’s College London, UK, 2024)
461. Similarity-Navigated Conformal Prediction for Graph Neural Networks by Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang (Nanjing University, Southern University of Science and Technology, ShanghaiTech University, 2024)
462. Estimating Quality of Approximated Shapley Values Using Conformal Prediction by Amr Alkhatib, Henrik Bostrom, Ulf Johansson (KTH Royal Institute of Technology, Jonkoping University, Sweden, 2024)
463. Clustered Conformal Prediction for the Housing Market by Anders Hjort,Jonathan P. Williams, Johan Pensar (University of Oslo,North Carolina State University, 2024)
464. Conformal Stability Measure for Feature Selection Algorithms by Marcos Lopez-De-Castro, Alberto Garcıa-Galindo, Ruben Armananzas (Universidad de Navarra, Spain, 2024)
465. The Uncertain Object: Application of Conformal Prediction to Aerial and Satellite Images Vicky Copley, Greg Finlay, Ben Hiett (DSTL, UK, 2024)
466. Conformal prediction for regression models with asymmetrically distributed errors: application to aircraft navigation during landing maneuver by Solène Vilfroy, Lionel Bombrun, Thierry Urruty, Thierry Urruty, Philippe Carré (Thales, France, 2024)
467. Multi-Class Classification With Reject Option and Performance Guarantees Using Conformal Prediction by Alberto Garcıa-Galindo, Marcos Lopez-De-Castro, Rubeen Armananzas (Universidad de Navarra, Spain, 2024)
468. Multi-label Conformal Prediction with a Mahalanobis Distance Nonconformity Measure by Kostas Katsios, Harris Papadopoulos (Frederick University, Cyprus, Albourne Partners Ltd, London, UK, 2024)
469. Conformal Prediction for Semantically-Aware Autonomous Perception in Urban Environments by Achref Doula, Tobias Güdelhöfer, Max Mühlhäuser, Alejandro Sanchez Guinea (Technische Universität Darmstadt, Germany, 2024)
470. Conformal prediction with local weights: randomization enables robust guarantees by Rohan Hore, Rina Foygel Barber (University of Chicago, 2024) code 🔥🔥🔥🔥🔥
471. Posterior Conformal Prediction by https://arxiv.org/abs/2409.19712 (Standord, 2024) code 🔥🔥🔥🔥🔥
472. Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty by Luca Mossina, Joseba Dalmau, Léo Andéol (IRT Saint Exupery, Toulouse; Institut de Mathe ́matiques de Toulouse; Toulouse, SNCF,France) code
473. Conformal Prediction: A Data Perspective by Xiaofan Zhou, Baiting Chen, Yu Gui, Lu Cheng (University of illinois, UCLA, University of Chicago, 2024)
474. Conformal Structured Prediction by Botong Zhang, Shuo Li, Osbert Bastani (University of Pennsylvania, 2024)
475. [Online conformal inference for multi-step time series forecasting](Online conformal inference for multi-step time series forecasting) by Xiaoqian Wang, Rob J Hyndman (Monash Universify, 2024) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 paper code conformalForecast R package
476. Optimizing Probabilistic Conformal Prediction with Vectorized Non-Conformity Scores by Minxing Zheng, Shixiang Zhu (University of Southern California, Carnegie Mellon University, 2024) 🔥🔥🔥🔥🔥 code
477. C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets by Kangdao Liu, Hao Zeng, Jianguo Huang, Huiping Zhuang, Chi-Man Vong, Hongxin Wei (Southern University of Science and Technology 2Department of Computer and Information Science, University of Macau, Nanyang Technological University, South China University of Technology, 2024)
478. Distribution-free uncertainty quantification for inverse problems: application to weak lensing mass mapping by Leterme, Fadili and Starck (Université Caen Normandie, Université Paris-Saclay, Université Paris Cité, France; Institutes of Computer Science and Astrophysics, Greece, 2024)
479. Conformal Predictive Portfolio Selection by Masahiro Kato (Mizuho-DL Financial Technology, 2024) 🔥🔥🔥🔥
480. Conformal Prediction in Finance by Miquel Noguer i Alonso Artificial Intelligence in Finance Institute (2024)
481. Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography by Ang Nan Gu, Michael Tsang, Hooman Vaseli, Teresa Tsang, Purang Abolmaesumi (University of British Columbia, Vancouver; Division of Cardiology, Vancouver General Hospital,2024) code
482. Target Strangeness: A Novel Conformal Prediction Difficulty Estimator by Alexis Bose, Jonathan Ethier, Paul Guinand (Alexis Bose, Jonathan Ethier, Paul Guinand, 2024) [code](https://arxiv.org/src/2410.19077v1/anc/cp_mm_targ_strg.tar.xz see arXiv for more details)
483. Neural networks pipeline for quality management in IVF laboratory by Sergei Sergeev, Iuliia Diakova, Lasha Nadirashvili (Georgian-German Reproductive Center, Tbilisi, Georgia; IVF, IVF and Genetic Center, Moscow, Russian Federation, IVF, ART-IVF Clinic, Moscow, Russian Federation)
484. Self-Consistent Conformal Prediction by Lars van der Laan, Ahmed M. Alaa (University of Washington, UC Berkeley and UCSF, 2024) code 🔥🔥🔥🔥🔥
485. Semiparametric conformal prediction by Ji Won Park, Robert Tibshirani, Kyunghyun Cho (Genentech, Stanford, 2024)
486. Strategic Conformal Prediction by Daniel Csillag, Claudio José Struchiner, Guilherme (School of Applied Mathematics Fundacao Getulio Vargas, Brazil, 2024)
487. Uncertainty measurement for complex event prediction in safety-critical systems by Maria J. P. Peixoto, Akramul Azim (Ontario Tech University)
488. Conformal-in-the-Loop for Learning with Imbalanced Noisy Data by John Brandon Graham-Knight, Jamil Fayyad, Nourhan Bayasi, Patricia Lasserre, Homayoun Najjaran (University of British Columbia, University of Victoria, University of British Columbia, Canada) code
489. Reliable Central Nervous System Tumor Differentiation on MRI Images with Deep Neural Networks and Conformal Prediction bu Luis Balderas, María Moreno de Castro, Miguel Lastra, Jose P. Martínez, Francisco J. Pérez, Antonio Laínez, Antonio Arauzo-Azofra5 and José M. Benítez (University of Granada, Hospital Universitario “Virgen de las Nieves”, Granada; Instituto Biosanitario de Granada, University of Córdoba, Spain)
490. Multi-model Ensemble Conformal Prediction in Dynamic Environments by Erfan Hajihashemi, Yanning Shen(University of California, Irvine)
491. Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry by Thomas Bruys, Reza Zandehshahvar, Amira Hijazi, Pascal Van Hentenryck (Georgia Institute of Technology, Atlanta, USA, 2024)
492. Predictive Inference With Fast Feature Conformal Prediction by Zihao Tang, Boyuan Wang, Chuan Wen, Jiaye Teng (Shanghai University of Finance and Economics, Tiangong University, 2024) code
493. Spatial Conformal Inference through Localized Quantile Regression by Hanyang Jiang, Yao Xie (2024)
494. GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction by Xiayin Loua, Peng Luob, Liqiu Menga (Technical University of Munich, Massachusetts Institute of Technology)
495. Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction by Chanon Puttanawarut, Romen Samuel Wabina, Nat Sirirutbunkajorn (Ramathibodi Hospital, Mahidol University, Bangkok, Thailand, 2024)
496. Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction
497. Adaptive Conformal Inference by Betting by Aleksandr Podkopaev, Darren Xu, Kuang-chih Lee (Wallmart Global Tech, 2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
498. Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training by Ting Wang, Zhixin Zhou, Rui Luo (City University of Hong Kong, Alpha Benito Research, Los Angeles, USA, 2025) code
499. Selection from Hierarchical Data with Conformal e-values by Yonghoon Lee, Zhimei Ren (Wharton School, University of Pennsylvania, 2025)
500. Using Monte Carlo conformal prediction to evaluate the uncertainty of deep learning soil spectral models by Yin-Chung Huang, José Padarian, Budiman Minasny, and Alex B. McBratney (The University of Sydney,2025)
501. Conformal Thresholded Intervals for Efficient Regression by Rui Luo and Zhixin Zhou (City University of Hong Kong; Alpha Benito Research, Los Angeles, USA) code
502. Conformalized Interval Arithmetic with Symmetric Calibration by Rui Luo and Zhixin Zhou (City University of Hong Kong; Alpha Benito Research, Los Angeles, USA) code
503. Learning Robot Safety from Sparse Human Feedback using Conformal Prediction by (Aaron O. Feldman, Joseph A. Vincent, Maximilian Adang, Jun En Low, and Mac Schwager, Stanford 2025) project code 🔥🔥🔥🔥🔥
504. Uncertainty Guarantees on Automated Precision Weeding using Conformal Prediction by Paul Melki, Lionel Bombrun, Boubacar Diallo, Jérôme Dias, Jean-Pierre da Costa (Univ. Bordeaux, EXXACT Robotics, Bordeaux Sciences Agro,2025).
505. Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores by Jivat Neet Kaur, Michael I. Jordan, Ahmed Alaa (University of California, Berkeley, Inria, Paris, 2025)
506. Uncertainty Estimation for Path Loss and Radio Metric Models by Alexis Bose, Jonathan Ethier, Ryan G. Dempsey, Yifeng Qiu, (Communications Research Centre Canada (CRC), Ottawa, Ontario, Canada, 2025)
507. Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference by Carlos Sebastián, Carlos E. González-Guillén, Jesús Juan (Fortia Energía, Universidad Politécnica de Madrid, Departamento de Matemática Aplicada a la Ingeniería Industrial, Instituto de Ciencias Matemáticas (CSIC-UAM-UC3M-UCM), Laboratorio de Estadística, Spain, 2025)
508. Multi-Output Conformal Regression: A Unified Comparative Study with New Conformity Scores by Victor Dheur, Matteo Fontana, Yorick Estievenart, Naomi Desobry, Souhaib Ben Taieb (University of Mons, Royal Holloway, University of London, Mohamed bin Zayed University of Artificial Intelligence, 2025) code 🔥🔥🔥🔥🔥
509. Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering by Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach (Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2025).
510. Estimating the Conformal Prediction Threshold from Noisy Labels by Coby Penso, Jacob Goldberger, Ethan Fetaya, 2025)
511. Neural Conformal Control for Time Series Forecasting](https://arxiv.org/abs/2412.18144) by Ruipu Li, Alexander Rodrıguez (University of Michigan, 2024) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
512. Robust Online Conformal Prediction under Uniform Label Noise by Huajun Xi, Kangdao Liu, Hao Zeng, Wenguang Sun, Hongxin Wei (Southern University of Science and Technology, University of Macau, Zhejiang University. China, 2025).
513. Noise-Adaptive Conformal Classification with Marginal Coverage by Teresa Bortolotti, Y. X. Rachel Wang, Xin Tong, Alessandra Menafoglio, Simone Vantini, Matteo Sesia Politecnico di Milano, Milan, Italy; University of Sydney, Australia; 3Department of Data Sciences and Operations, University of Southern California; University of Hong Kong, China, 2025)
514. Uncertainty quantification in automated valuation models with spatially weighted conformal prediction by Anders Hjort, Gudmund Horn Hermansen, Johan Pensar, Jonathan P. Williams (University of Oslo, Norway; North Carolina State University, 2025).
515. Error-quantified Conformal Inference for Time Series by Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, Changliang Zou (Nankai University, Tsinghua University, China, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥code
516. Conformal Predictions for Longitudinal Data code by Devesh Batra, Salvatore Mercuri, Raad Khraishi (Data Science & Innovation, NatWest Group, Institute of Finance and Technology, UCL, London, United Kingdom, 2023).
517. Prediction Sets and Conformal Inference with Censored Outcomes by Weiguang Liu, Áureo de Paula, Elie Tamer (UCL, Harvard, 2025).
518. Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction by Lars van der Laan, Ahmed Alaa (University of Washington, Berkekey, 2025).
519. Robust Conformal Outlier Detection under Contaminated Reference Data by Meshi Bashari, Matteo Sesia, Yaniv Romano (Technion, University of Southern California, Los Angeles, 2025)
520. Multivariate Conformal Prediction using Optimal Transport by Michal Klein, Louis Bethune, Eugene Ndiaye, Marco Cuturi (Apple Research, 2025).
521. Wasserstein-regularized Conformal Prediction under General Distribution Shift by Rui Xu, Chao Chen, Yue Sun, Parvathinathan Venkitasubramaniam, Sihong Xie (The Hong Kong University of Science and Technology (Guangzhou), Harbin Institute of Technology, Lehigh University, 2025) code
522. Conformalized Time Series with Semantic Features by Baiting Chen, Zhimei Ren, Lu Cheng (2024) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
523. Language Models Can Predict Their Own Behavior by Dhananjay Ashok, Jonathan May (2025)
524. Relational Conformal Prediction for Correlated Time Series by Andrea Cini, Alexander Jenkins, Danilo Mandic, Cesare Alippi, Filippo Maria Bianchi (2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
525. Improved Online Conformal Prediction via Strongly Adaptive Online Learning - Aadyot Bhatnagar, Dylan J. Foster, Sivaraman Balakrishnan, Aaditya Ramdas, 2023.
526. Conformal Prediction Under Covariate Shift - Aaditya Ramdas, Ryan Tibshirani, 2015.
527. Conformalized Quantile Regression - Yaniv Romano, Evan Patterson, Emmanuel J. Candès, (Standord, 2019).
528. Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies website by Chen Xu, Tony Khuong Nguyen, Emma Dixon, Christopher Rodriguez, Patrick Miller, Robert Lee, Paarth Shah, Rares Andrei Ambrus, Haruki Nishimura, Masha Itkina (Toyota Research Institute, Woven by Toyota 2025) 🔥🔥🔥🔥🔥
529. Forecasting Extreme Temperatures in Siberia Using Supervised Learning and Conformal Prediction Regions by Richard Berk,Amy Braverman (University of Pennsylvania, The Jet Propulsion Laboratory (Caltech)).
530. A comparison of some conformal quantile regression methods by Matteo Sesia, Emmanuel J. Candès (2019)
531. Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction by Henrik Olsson, Kimmo Kartasalo, Nita Mulliqi, Marco Capuccini, Pekka Ruusuvuori, Hemamali Samaratunga, Brett Delahunt, Cecilia Lindskog, Emiel A M Janssen, Anders Blilie, Lars Egevad, Ola Spjuth, Martin Eklund (2022)
532. Minimum Volume Conformal Sets for Multivariate Regression by Sacha Braun, Liviu Aolaritei, Michael I. Jordan, Francis Bach (Inria, Berkeley) (2025)
533. Unifying Different Theories of Conformal Prediction by Rina Foygel Barber, Ryan J. Tibshiran (University of Chicago, Berkeley, 2025) 🔥🔥🔥🔥🔥
534. LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos by Daniel Etaat, Dvij Kalaria, Nima Rahmanian, Shankar Sastry (Berkeley, 2025) project 🔥🔥🔥🔥🔥
535. [Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning] 🔥🔥🔥🔥🔥(https://arxiv.org/abs/2504.15240) by Amirhossein Mollaali, Christian Bolivar Moya, Amanda A. Howard, Alexander Heinlein, Panos Stinis, Guang Lin (Purdue University, 2025)
536. Backward Conformal Prediction by Etienne Gauthier, Francis Bach, Michael I. Jordan (INRIA, Berkeley, 2025) 🔥🔥🔥🔥🔥
537. Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals by Marouane Il Idrissi, Agathe Fernandes Machadoa, Ewen Gallicc, Arthur Charpentiera (Université du Québec à Montréal, Université Laval, Universite de Montréal, Marseille Univ, 2025) 🔥🔥🔥🔥🔥
538. Synthetic-Powered Predictive Inference by Meshi Bashari, Roy Maor Lotan, Yonghoon Lee, Edgar Dobriban, Yaniv Romano (Technion, The Wharton School, University of Pennsylvania, 2025).
539. Extreme Conformal Prediction: Reliable Intervals for High-Impact Events by Olivier C. Pasche, Henry Lam, Sebastian Engelke (University of Geneva, Columbia University, 2025). 🔥🔥🔥🔥🔥
540. STACI: Spatio-Temporal Aleatoric Conformal Inference by Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, and Brian J. Reich (North Carolina State University, Brookhaven National Laboratory. 2025) 🔥🔥🔥🔥🔥
541. JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows by Eshant English, Christoph Lippert (Hasso Plattner Institute for Digital Engineering, Germany; University of Tokyo, Tokyo, Japan, 2025)
542. Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score by Xuanning Zhou, Hao Zeng, Xiaobo Xia, Bingyi Jing, Hongxin Wei (Southern University of Science and Technology, Harbin Institute of Technology, National University of Singapore, 2025). 🔥🔥🔥🔥🔥
543. Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification by Long Hui, Wai Lok Yeung (2025)
544. Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays by Long Hui (Independent Researcher, 2025)
545. Individualised Counterfactual Examples Using Conformal Prediction Intervals by James M. Adams, Gesine Reinert, Lukasz Szpruch, Carsten Maple, Andrew Elliott (The Alan Turing Institute, University of Oxford, University Of Edinburgh, University Of Warwick, University, United Kingdom 2025).
546. CP-Router: An Uncertainty-Aware Router Between LLM and LRM by Jiayuan Su, Fulin Lin, Zhaopeng Feng, Han Zheng, Teng Wang, Zhenyu Xiao, Xinlong Zhao, Zuozhu Liu, Lu Cheng, Hongwei Wang (Zhejiang University, 2University of Hong Kong, Tsinghua University, Peking University, University of Illinois Chicago, 2025) 🔥🔥🔥🔥🔥
547. A Modern Theory of Cross-Validation through the Lens of Stability by Jing Lei, Carnegie Mellon, 2025. 🔥🔥🔥🔥🔥
548. WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts by Shadi Alijani, Homayoun Najjaran, University of Victoria, Canada, 2025
549. Optimal Conformal Prediction under Epistemic Uncertainty by Alireza Javanmardi, Soroush H. Zargarbashi, Santo M. A. R. Thies, Willem Waegeman, Aleksandar Bojchevski, Eyke Hüllermeier (LMU Munich, MCML, CISPA, University of Cologn, Ghent University, 2025)
550. [Conformal Prediction for Uncertainty Estimation in Drug-Target Interaction Prediction](by Morteza Rakhshaninejad, Mira Jurgens, Nicolas Dewolf, Willem Waegeman, Ghent University, 2025).
551. [Prediction of the classification, labelling and packaging regulation H-statements with confidence using conformal prediction with N-grams and molecular fingerprints])(https://www.sciencedirect.com/science/article/pii/S2666027X25000283) by Ulf Norinder, Ziye Zheng, Ian Cotgreave ( Stockholm University, Orebro University, Research Institute of Sweden (RISE), 2025)
552. Stacked conformal prediction by Paulo C. Marques F (Insper Institute of Education and Research, Brazil, 2025) 🔥🔥🔥🔥🔥
553. Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP by Alya Zouzou, Léo andéol, Mélanie Ducoffe, Ryma Boumazouza (Airbus, SNCF, IRT Saint Exupery, France, 2025).
554. Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings by Yuqicheng Zhu, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, Steffen Staab (University of Stuttgart, Bosch Center for AI; University of Oxford, University of Cambridge, Stanford University, University of Oslo, University of Southampton, 2025).
555. Multivariate Latent Recalibration for Conditional Normalizing Flows by Victor Dheur, Souhaib Ben Taieb (University of Mons, Belgium, Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi, United Arab Emirates, 2025).
556. Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals by Marouane Idrissi, Agathe Fernandes Machado, Ewen Gallic, Arthur Charpentier (Université du Québec à Montréal, Université Laval,Université de Montréal, Aix Marseille Univ, 2025) 🔥🔥🔥🔥🔥
557. Conformalized Decision Risk Assessment by Wenbin Zhou, Agni Orfanoudaki, Shixiang Zhu (Carnegie Mellon University University of Oxford, 2025)
558. CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition by Bruno Viti, Elias Karabelas, Martin Holler (University of Graz, Austria, 2025)
559. Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers by Mehran Zoravar, Shadi Alijani, Homayoun Najjaran (University of Victoria, Canada, 2025).
560. Privacy-Preserving Conformal Prediction Under Local Differential Privacy by Coby Penso, Bar Mahpud, Jacob Goldberger, Or Sheffet (Bar-Ilan University, 2025).
561. Synthetic-Powered Predictive Inference by Meshi Bashari, Roy Maor Lotan, Yonghoon Lee, Edgar Dobriban, Yaniv Romano (Technion IIT, The Wharton School, University of Pennsylvania, 2025) 🔥🔥🔥🔥🔥
562. Improving Coverage in Combined Prediction Sets with Weighted p-values by Gina Wong, Drew Prinster, Suchi Saria, Rama Chellappa, Anqi Liu (Johns Hopkins University. 2025) 🔥🔥🔥🔥🔥
563. Conformal Prediction for Zero-Shot Models by Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz code
564. On Temperature Scaling and Conformal Prediction of Deep Classifiers by Lahav Dabah,Tom Tirer (Bar-Ilan University, 2025) code 🔥🔥🔥🔥🔥
565. Gaussian process interpolation with conformal prediction: methods and comparative analysis by Aurélien Pion, Emmanuel Vazquez (Université Paris-Saclay, Transvalor S.A.,France) 🔥🔥🔥🔥🔥 code
566. E-Values Expand the Scope of Conformal Prediction by Etienne Gauthier, Francis Bach, Michael I. Jordan (Inria, Berkeley, 2025) code
567. One Sample is Enough to Make Conformal Prediction Robust by Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski (CISPA Helmholtz Center for Information Security, University of Cologne, 2025).
568. Foundation models for time series forecasting: Application in conformal prediction by Sami Achour, Yassine Bouher, Duong Nguyen, Nicolas Chesneau (Ekimetrics, Ecole Polytechnique, 2025) code
569. Uncertainty-Aware Predictive Process Monitoring in Healthcare: Explainable Insights into Probability Calibration for Conformal Prediction by Maxim Majlatow, Fahim Ahmed Shakil, Andreas Emrich and Nijat Mehdiyev (German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany; Saarland University, 66123 Saarbrücken, Germany (2025).
570. Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems by Jeffrey Wen, Rizwan Ahmad, Philip Schniter (Ohio State University, 2025)
571. Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models by Sima Nooran, Shayan Kiyani, George Pappas, and Hamed Hassani (University of Pennsylvania, 2025)
572. Conformal Prediction for Zero-Shot Models by Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz (ETS Montreal, 2025)
573. Conformal Inference for Reliable Single Cell RNA-seq Annotation Open Access by Marcos López-De-Castro, Alberto García-Galindo, José González-Gomariz, Rubén Armañanzas (University of Navarra) code
574. CONFLARE: CONFormal LArge language model REtrieval by Pouria Rouzrokh, Shahriar Faghani, Cooper U. Gamble, Moein Shariatnia, Bradley J. Erickson (Mayo Clinic, Tehran University of Medical Sciences, 2024). 🔥🔥🔥🔥🔥 best paper award ASFNR2025
575. Conformal prediction without knowledge of labeled calibration data by Jonas Flechsig, Maximilian Pilz (Fraunhofer Institute for Industrial Mathematics, Ohm University of Applied Sciences Nuremberg, 2025) 🔥🔥🔥🔥🔥
576. Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting by Agnideep Aich, Ashit Baran Aich, Dipak C. Jain (University of Louisiana at Lafayette, Louisiana, USA; CEIBS, Shanghai, China) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
577. Leave-One-Out Stable Conformal Prediction by Kiljae Lee, Yuan Zhang (The Ohia State University, 2025) code
578. Predictive inference for time series: why is split conformal effective despite temporal dependence? by Rina Foygel Barber, Ashwin Pananjady (University of Chicago, Georgia Tech, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
579. Relevance-Aware Thresholding in Online Conformal Prediction for Time Series by Théo Dupuy, Binbin Xu, Stéphane Perrey, Jacky Montmain, Abdelhak Imoussaten (IMT Mines Ales, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
580. Split Conformal Classification with Unsupervised Calibration by Santiago Mazuelas (BCAM-Basque Center for Applied Mathematics and IKERBASQUE-Basque Foundation for Science, 2025) code 🔥🔥🔥🔥🔥
581. Prediction Intervals for Model Averaging by Zhongjun Qu, Wendun Wang, Xiaomeng Zhang (Boston University, Erasmus University Rotterdam, 2025) 🔥🔥🔥🔥🔥
582. Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction by Alireza Moradi, Mathieu Tanneau, Reza Zandehshahvar, Pascal Van Hentenryck (Georgia Tech, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
583. Conformalized Time Series with Semantic Features Baiting Chen, Zhimei Ren, Lu Cheng (UCLA, University of Pennsylvania, University of Illinois Chicago, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
584. Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shifts with Unlabeled Data by Alvaro Correia, Christos Louizos (Qualcomm AI Researchl 2025) 🔥🔥🔥🔥🔥
585. Conformal prediction for frequency-severity modeling by Helton Graziadei, Paulo C. Marques F., Eduardo F. L. de Melo, Rodrigo S. Targino (Getulio Vargas Foundation, Insper Institute of Education and Research, SUSEP - Superintendence of Private Insurance, UERJ - State University of Rio de Janeiro, 2025) code 🔥🔥🔥🔥🔥
586. Are you sure? Measuring models bias in content moderation through uncertainty by Alessandra Urbinati, Mirko Lai, Simona Frenda, Marco Antonio Stranisci(Northeastern University, Heriot-Watt University, aequa-tech, Torino, Italy; Università del Piemonte Orientale, 2025)
587. Residual Distribution Predictive Systems by Sam Allen, Enrico Pescara, Johanna Ziegel (KIT, ETH, 2025) code
588. Conformal Information Pursuit for Interactively Guiding Large Language Models by Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban, Hamed Hassani, René Vidal (University of Pennsylvania, 2025) #LLM 🔥🔥🔥🔥🔥
589. Conformal Prediction for Hierarchical Data by Guillaume Principato, Gilles Stoltz, Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Jean-Michel Poggi (Université Paris-Saclay, EDF R&D, Inria, Laboratoire de mathématiques d’Orsay, France, 2025) code TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
590. CLAPS: Posterior-Aware Conformal Intervals via Last-Layer Laplace by Dongseok Kim, Hyoungsun Choi, Mohamed Jismy Aashik Rasool, Gisung Oh (Gachon University,2025) 🔥🔥🔥🔥🔥
591. Adaptive Regime-Switching Forecasts with Distribution-Free Uncertainty: Deep Switching State-Space Models Meet Conformal Prediction by Echo Diyun LU, Charles Findling, Marianne Clausel, Alessandro Leite, Wei Gong, Pierric Kersaudy (University of Lorraine, Pernod Ricard, INSA Rouen Normandy, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
592. Flow-based Conformal Prediction for Multi-dimensional Time Series by Junghwan Lee, Chen Xu, Yao Xie (Georgia Tech, 2025) TIME SERIES 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
593. Conformal Bandits: Bringing statistical validity and reward efficiency to the small-gap regime by Simone Cuonzo, Nina Deliu (Sapienza University of Rome, 2025).
594. Another Fit Bites the Dust: Conformal Prediction as a Calibration Standard for Machine Learning in High-Energy Physics by Jack Y. Araz, Michael Spannowsky (University College London, City St. George’s - University of London, Durham University) 🔥🔥🔥🔥🔥
595. Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction by Qianyi Chen, Bo Li (Tsinghua University, China, 2026) code 🔥🔥🔥🔥🔥
596. Fast Conformal Prediction using Conditional Interquantile Intervals by Naixin Guo, Rui Luo, Zhixin Zhou (City University of Hong Kong, Alpha Benito Research,2026) code
597. Flow-Based Conformal Predictive Distributions by Trevor Harris (University of Connecticut, 2026)
598. Quantifying Epistemic Predictive Uncertainty in Conformal Prediction by Siu Lun Chau, Soroush H. Zargarbashi, Yusuf Sale and Michele Caprio (Nanyang Technological University, Singapore; Helmholtz Center for Information Security, Germany; MU Munich; Center for Machine Learning, Germany; Manchester Centre for AI Fundamentals; The University of Manchester, United Kingdom, 2026)
599. [Comparative analysis of conformal prediction techniques and machine learning models for very short-term solar power forecasting](Comparative analysis of conformal prediction techniques and machine learning models for very short-term solar power forecasting](https://www.sciencedirect.com/science/article/pii/S2666546825001053) by Nguyen Binh Nam, Emanuele Oglia,Sonia Leva, Emilio Pafumi, Davide Alberti, Minh Quan Duong (Politecnico di Milano, The University of Da Nang, 2026).
600. Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting (University of Louisiana at Lafayette, China Europe International Business School (CEIBS), 2026)

论文 时间序列

1. 动态时间序列的保形预测区间 作者：Chen Xu、Yao Xie（佐治亚理工学院，2021年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 Python代码 视频 ICML2021视频
2. 时间序列的保形预测集 作者：Chen Xu、Yao Xie（佐治亚理工学院，2022年） Python代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
3. 保形时间序列预测 作者：Kamile Stankeviciute 和 Ahmed M. Alaa（2021年） NeurIPS2021视频 视频 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
4. 用于概率性时间序列预测的集成保形分位数回归 作者：Vilde Jensen、Filippo Maria Bianchi、Stian Norman Anfinsen（2022年）。 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
5. 时间序列的自适应保形预测 作者：Margaux Zaffran、Aymeric Dieuleveut、Olivier Féron、Yannig Goude 和 Julie Josse（2022年） Python代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 视频
6. 保形在线学习：无需保留集的在线校准 作者：Shai Feldman、Stephen Bates 和 Yaniv Romano（2022年）。 时间序列 🔥🔥🔥🔥🔥 代码
7. 带有时间分位数调整的保形预测 作者：Zhen Lin、Shubhendu Trivedi、Jimeng Sun（2022年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
8. 针对依赖数据的预测性机器学习的精确且鲁棒的保形推断方法 作者：Victor Chernozhukov（MIT）、Kaspar Wuethrich（加州大学圣地亚哥分校）和 Yinchu Zhu（俄勒冈大学）（2018年） 视频
9. 分布保形预测 作者：Chernozhukov（MIT）、Kaspar Wuethrich（加州大学圣地亚哥分校）和 Yinchu Zhu（俄勒冈大学）（2022年） Python代码 R代码
10. 多变量函数型时间序列的无分布预测带：以意大利天然气市场为例 作者：Jacopo Diquigiovanni（帕多瓦大学）、Matteo Fontana（欧盟委员会联合研究中心）、Simone Vantini（米兰理工大学）（2021年）
11. CODiT：时间序列数据中的保外形态外检测 作者：Ramneet Kaur 等，宾夕法尼亚大学（2022年）。 代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
12. 多步前瞻自适应保形异方差时间序列预测的一般框架 作者：Martim Sousa、Ana Maria Tomé，阿威罗大学（2022年） 代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
13. 保形预测区间估计及其在日前和日内电力市场的应用 作者：Christopher Kath 和 Florian Ziel（2020年）
14. 基于保形预测的稳健天然气需求预测 作者：Mouhcine Mendil、Luca Mossina、Marc Nabhan、Kevin Pasini（2022年）
15. 二维函数型时间序列的保形预测带 作者： Niccolo` Ajroldia、Jacopo Diquigiovannib、Matteo Fontanac、Simone Vantinia（2022年）
16. 用于多步时间序列预测的Copula保形预测 作者：Sophia Sun、Rose Yu（加州大学圣地亚哥分校，2022年） 代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
17. [时间序列的保形预测集] 作者：Chen Xu、Yao Xie（佐治亚理工学院，2022年） 代码
18. Amazon Fortuna
19. 通过强自适应在线学习改进的在线保形预测 作者：Aadyot Bhatnagar、Huan Wang、Caiming Xiong、Yu Bai（2023年） 代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
20. 现代霍普菲尔德网络下的时间序列保形预测 作者：Andreas Auer、Martin Gauch、Daniel Klotz、Sepp Hochreiter（约翰内斯·开普勒大学，林茨，2023年） 代码 博客文章 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
21. 时间序列的顺序预测性保形推断 作者：Chen Xu、Yao Xie（佐治亚理工学院） 代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
22. 纵向数据的保形预测 作者：Devesh Batra、Salvatore Mercuri 和 Raad Khraishi（NatWest Group 的数据科学与创新部门、伦敦大学学院金融与技术研究所，英国，2023年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 代码
23. 用于时间序列预测的保形PID控制 作者：Anastasios N. Angelopoulos、Emmanuel J. Candes、Ryan J. Tibshirani（伯克利/斯坦福，NeurIPS2023） 代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
24. 神经标记时间点过程的无分布联合保形预测区域 作者：Victor Dheur、Tanguy Bosser、Rafael Izbicki、Souhaib Ben Taieb（巴西圣卡洛斯联邦大学和比利时蒙斯大学，2024年） 代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
25. 贝尔曼保形推断：校准时间序列的预测区间 作者：Zitong Yang、Emmanuel Candès、Lihua Lei（斯坦福大学，2024年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥代码
26. 基于椭球集的多维时间序列保形预测 作者：Chen Xu、Hanyang Jiang 和 Yao Xie（佐治亚理工学院，2024年） 代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
27. 一元时间序列的保形预测模拟 作者：Thierry Moudiki（2024年）
28. 基于核函数的最优加权保形预测区间 作者：Jonghyeok Lee、Chen Xu、Yao Xie（佐治亚理工学院，2024年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
29. 变压器保形预测用于时间序列 作者：Jonghyeok Lee、Chen Xu、Yao Xie（佐治亚理工学院，2024年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 代码
30. 基于椭球集的多维时间序列保形预测 作者：Chen Xu、Hanyang Jiang、Yao Xie（佐治亚理工学院，2024年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
31. 具有分量可交换性的保形时间序列分解 作者：Derck W. E. Prinzhorn、Thijmen Nijdam、Putri A. van der Linden、Alexander Timans（阿姆斯特丹大学，2024年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 代码
32. 利用点预测器提升预测区间的可靠性：异方差分位数回归与宽度自适应保形推断 作者：Carlos Sebastiana、Carlos E. Gonzalez-Guillenc、Jesus Juane（Fortia Energía、马德里理工大学、马德里数学科学研究所） 代码（2024年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
33. JANET：时间序列的联合自适应预测区域估计 作者：Eshant English、Eliot Wong-Toi、Matteo Fontana、Stephan Mandt、Padhraic Smyth、Christoph Lippert（2024年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
34. 分裂保形预测与不可交换数据 作者：Roberto I. Oliveira、Paulo Orenstein、Thiago Ramos、João Vitor Romano（巴西IMPA，2024年） 代码
35. ConForME：多 horizon 保形时间序列预测 作者：Aloysio Galvao Lopes、Eric Goubault、Sylvie Putot、Laurent Pautet（巴黎理工学院、LTCI、电信巴黎，2024年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
36. [用于多步时间序列预测的在线保形推断](Online conformal inference for multi-step time series forecasting) 作者：Xiaoqian Wang、Rob J Hyndman（莫纳什大学，2024年） 代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 论文代码 conformalForecast R包
37. 层次数据的保形预测 作者：Guillaume Principato、Yvenn Amara-Ouali、Yannig Goudee、Bachir Hamrouche、Jean-Michel Poggi、Gilles Stolz（法国EDF研发、奥赛数学实验室、INRIA）
38. 用于时间序列预测的神经保形控制 作者：Ruipu Li、Alexander Rodríguez（密歇根大学，2024年） 代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
39. 基于投注的自适应保形推断 作者：Aleksandr Podkopaev、Darren Xu、Kuang-chih Lee（沃尔玛全球科技，2024年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
40. 误差量化保形推断用于时间序列 作者：Junxi Wu、Dongjian Hu、Yajie Bao、Shu-Tao Xia、Changliang Zou（南开大学、清华大学，中国，2025年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥代码
41. 带有语义特征的保形时间序列 作者：Baiting Chen、Zhimei Ren、Lu Cheng（2024年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
42. 带有语义特征的保形时间序列（同上） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
43. 相关时间序列的关系保形预测 作者：Andrea Cini、Alexander Jenkins、Danilo Mandic、Cesare Alippi、Filippo Maria Bianchi（2025年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
44. 用于多步时间序列预测的双分裂保形预测 作者：Qingdi Yu、Zhiwei Cao、Ruihang Wang、Zhen Yang、Lijun Deng、Min Hu、Yong Luo、Xin Zhou（2025年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
45. 分裂保形预测与不可交换数据 作者：Roberto I. Oliveira、Paulo Orenstein、Thiago Ramos、João Vitor Romano（巴西里约热内卢的IMPA，2024年） 代码
46. 基于流的多维时间序列保形预测 作者：Junghwan Lee、Chen Xu、Yao Xie（佐治亚理工学院，2025年） 代码
47. 为深度时间序列预测模型量身定制的特征拟合在线保形预测 作者：Xiannan Huang、Shuhan Qiu（同济大学，2025年） 代码
48. 用于层次数据的保形预测 作者：Guillaume Principato、Gilles Stoltz、Yvenn Amara-Ouali、Yannig Goude、Bachir Hamrouche、Jean-Michel Poggi（法国EDF研发、巴黎-萨克莱大学、CNRS、Inria、奥赛数学实验室、巴黎城市大学等机构；代码](https://github.com/PrincipatoG/Conformal-Prediction-for-Hierarchical-Data)
49. STACI：时空随机保形推断 作者：Brandon R. Feng、David Keetae Park、Xihaier Luo、Arantxa Urdangarin、Shinjae Yoo 和 Brian J. Reich（北卡罗来纳州立大学、布鲁克海文国家实验室，2025年）
50. 时间序列预测的基础模型：在保形预测中的应用 作者：Sami Achour、Yassine Bouher、Duong Nguyen、Nicolas Chesneau（Ekimetrics、巴黎综合理工学院，2025年） 代码
51. 误差量化保形推断用于时间序列 代码 ICLR 2025 论文由 Junxi Wu、Dongjian Hu、Yajie Bao、Shu-Tao Xia、Changliang Zou（南开大学、清华大学）撰写
52. 基于核函数的最优加权保形时间序列预测 作者：Jonghyeok Lee、Chen Xu、Yao Xie（佐治亚理工学院，2025年）。
53. 时间保形预测（TCP）：一种用于自适应风险预测的无分布统计与机器学习框架 作者：Agnideep Aich、Ashit Baran Aich、Dipak C. Jain（美国路易斯安那州拉斐特大学、中国上海中欧国际工商学院） 代码
54. 时间序列的预测性推断：为什么尽管存在时间依赖性，分裂保形预测仍然有效？ 作者：Rina Foygel Barber、Ashwin Pananjady（芝加哥大学、佐治亚理工学院，2025年） 🔥🔥🔥🔥🔥
55. 面向时间序列的在线保形预测中的相关性感知阈值处理 作者：Théo Dupuy、Binbin Xu、Stéphane Perrey、Jacky Montmain、Abdelhak Imoussaten（法国IMT Mines Ales，2025年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
56. 利用情境感知保形预测增强可再生能源预测 作者：Alireza Moradi、Mathieu Tanneau、Reza Zandehshahvar、Pascal Van Hentenryck（佐治亚理工学院，2025年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
57. 带有语义特征的保形时间序列 作者：Baiting Chen、Zhimei Ren、Lu Cheng（UCLA、宾夕法尼亚大学、伊利诺伊大学芝加哥分校，2025年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
58. 面向时间序列的在线保形预测中的相关性感知阈值处理 作者：Théo Dupuy、Binbin Xu、Stéphane Perrey、Jacky Montmain、Abdelhak Imoussaten（法国IMT Mines Ales，2025年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
59. 利用分位数梯度提升和自适应保形预测区域预测挪威斯瓦尔巴群岛的熔点 作者： Richard Berk（宾夕法尼亚大学，2025年）
60. 用于层次数据的保形预测 作者：Guillaume Principato、Gilles Stoltz、Yvenn Amara-Ouali、Yannig Goude、Bachir Hamrouche、Jean-Michel Poggi（法国巴黎-萨克莱大学、EDF研发、INRIA、奥赛数学实验室等机构，2025年） 代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
61. 无分布不确定性下的自适应制度切换预测：深度切换状态空间模型与保形预测的结合 作者：Echo Diyun LU、Charles Findling、Marianne Clausel、Alessandro Leite、Wei Gong、Pierric Kersaudy（洛林大学、保乐力加、鲁昂INSA诺曼底，2025年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
62. 基于流的多维时间序列保形预测 作者：Junghwan Lee、Chen Xu、Yao Xie（佐治亚理工学院，2025年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
63. 带有变点的时间序列预测的保形预测 作者：Sophia Sun、Rose Yu（加州大学圣地亚哥分校，2025年） 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
64. 在线保形预测的最佳训练条件后悔 作者：Jiadong Liang、Zhimei Ren、Yuxin Chen（宾夕法尼亚大学，2026年） 🔥🔥🔥🔥🔥

论文 异常检测

1. Microsoft Azure Microsoft Azure 异常检测，由一致性预测驱动 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
2. 在线检验交换性 作者：弗拉基米尔·沃夫克、伊利亚·努雷特迪诺夫、亚历克斯·加默曼（英国皇家霍洛威学院，2023年）
3. 用于在线检验交换性的插件鞅 作者：瓦伦蒂娜·费多罗娃、亚历克斯·加默曼、伊利亚·努雷特迪诺夫、弗拉基米尔·沃夫克（英国皇家霍洛威学院，2012年） 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
4. 基于密度和距离的一致性异常检测在时间序列数据中的应用 作者：叶夫根尼·布尔纳耶夫、弗拉季斯拉夫·伊希姆采夫（斯库普雷奇，2016年），该方法在备受瞩目的 Numenta 异常检测竞赛中名列前茅。代码 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
5. 用于铁路信号可信检测的一致性预测 作者：莱奥·安德奥尔、托马斯·费尔、弗洛伦斯·德·格兰塞、卢卡·莫西纳（图卢兹数学研究所、法国国家铁路公司、布朗大学、泰雷兹集团、AVS 法国、圣埃克苏佩里 IRT 研究所，法国/美国，2024年）
6. 利用一致性预测检测铁路轨道不规则性 作者：安德烈亚斯·普莱斯纳、艾伦·P·恩斯吉-卡鲁普、汉斯·特鲁（苏黎世联邦理工学院、丹麦技术大学）（2024年）
7. CoPAL：主动学习中的一致性预测——一种用于增强预测性维护中剩余使用寿命估计的算法 作者：扎赫拉·哈拉齐安、托尼·林德格伦、辛德里·马格努松、亨里克·博斯特伦（斯德哥尔摩大学、皇家理工学院，2024年）
8. 归纳式一致性异常检测用于顺序识别异常子轨迹 作者：里卡德·拉克哈马尔和戈兰·法尔克曼（2013年）
9. 一致性异常检测 里卡德·拉克哈马尔的博士论文（斯库夫德大学，2012年）
10. 使用一致性 p 值检验异常值 作者：斯蒂芬·贝茨、埃曼纽埃尔·坎德斯、李华·雷、亚尼夫·罗马诺、马特奥·塞西亚（伯克利大学、斯坦福大学，2021年）

演示文稿幻灯片

1. 机器学习在概率预测中的应用，西雅图人工智能研讨会聚会 作者：Valery Manokhin，2023年 🔥🔥🔥🔥🔥
2. 机器学习在概率预测中的应用 作者：Valery Manokhin，2022年 🔥🔥🔥🔥🔥
3. 面向时间序列的自适应校正异常检测 作者：Evgeny Burnaev、Alexander Bernstein、Vlad Ishimtsev 和 Ivan Nazarov（斯科尔科沃科技大学，莫斯科，俄罗斯，2017年）
4. 基于校正预测的非参数预测分布 作者：Vladimir Vovk、Jieli Shen、Valery Manokhin、Min-ge Xie、Ilia Nouretdinov 和 Alex Gammerman（皇家霍洛威学院、伦敦大学、罗格斯大学，2017年）
5. 校正推断能为统计学带来什么？ 作者：Lihua Lei，斯坦福大学
6. 校正回归器与预测系统——入门介绍 作者：Henrik Bostroem（瑞典皇家理工学院，2022年）
7. 校正预测器的应用 作者：Ernst Ahlberg 和 Lars Carlsson（Stena Line，2022年）
8. crepes：用于校正回归器和预测系统的 Python 包 作者：Henrik Bostroem（瑞典皇家理工学院，2022年）
9. 通过文恩预测评估解释质量 作者：Amr Alkhatib、Henrik Boström 和 Ulf Johansson（2022年）
10. 校准良好的规则提取器 作者：Ulf Johansson、Tuwe Löfström、Niclas Ståhl（2022年）
11. 使用文恩-ABERS 预测器校准自然语言理解模型 作者：Patrizio Giovannotti（2022年）
12. 具有保证精度的强化学习预测区间 作者：Thomas Dietterich（俄勒冈大学，2022年）
13. 超越交换性的校正预测 作者：Rina Foygel Barber（芝加哥大学，2022年）🔥🔥🔥🔥🔥
14. 针对依赖数据的分割校正预测 作者：Roberto I. Oliveira、Paulo Orenstein、Thiago Ramos 和 João Vitor Romano（2022年）
15. 癌症细胞系中小分子药物耐药性的校正预测 作者：Saiveth Hernandez-Hernandez、Sachin Vishwakarma 和 Pedro Ballester
16. 面向时间序列的顺序预测性校正推断 作者：Chen Xu、Yao Xie（佐治亚理工学院，2022年）时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
17. 用于多步时间序列预测的 Copula 校正预测 作者：Sophia Sun、Rose Yu（加州大学圣地亚哥分校，2022年）
18. NLP 中的不确定性估计 作者：Tal Schuster、Adam Fisch（麻省理工学院，2022年）
19. 校正预测简介 作者：Leo Andeol（2022年）
20. 面向时间序列的自适应校正预测 作者：Margaux Zaffran（ICML，2021年）
21. EnbPI 海报 作者：Chen Xu、Yao Xie（2021年）
22. 机器学习在概率预测中的应用 作者：Valery Manokhin（2023年）🔥🔥🔥🔥🔥
23. 使用 Tidymodels 进行校正推断 作者：Max Kuhn（Posit 大会 2023）🔥🔥🔥🔥🔥
24. 利用校正预测优雅处理大型不均衡数据集 作者：Ulf Norinder 和 Fredrik Svensson🔥🔥🔥🔥🔥
25. 校正量化回归 作者：Yaniv Romano、Evan Patterson、Emmanuel J. Candès（斯坦福大学，2019年）
26. 利用校正预测生成校准的概率性时间序列预测，加速可再生能源转型 作者：Inge van den Ende（Dexter Energy，2023年）。时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
27. 校正推断在高能物理中的应用 作者：Jiri Franc（捷克共和国布拉格捷克技术大学）

研究人员

1. 弗拉基米尔·沃夫克，英国皇家霍洛威大学
2. 亚历山大·甘默曼，英国皇家霍洛威大学
3. 格伦·谢弗，美国罗格斯大学
4. 埃马纽埃尔·坎德斯，美国斯坦福大学
5. 瑞安·蒂布希里亚尼，美国卡内基梅隆大学
6. 亚尼夫·罗马诺，以色列理工学院
7. 迈克尔·I·乔丹，美国伯克利大学
8. 吉滕德拉·马利克，美国伯克利大学
9. 阿纳斯塔西奥斯·安杰洛普洛斯，美国伯克利大学
10. 雷丽华，美国斯坦福大学
11. 亨里克·博斯特伦，瑞典皇家理工学院
12. 乌尔夫·约翰松，瑞典延雪平大学
13. 亨里克·林努森，瑞典博拉斯大学
14. 哈里斯·帕帕多普洛斯，塞浦路斯弗雷德里克大学
15. 弗拉基米尔·维尤金，俄罗斯信息传输问题研究所（IITP）
16. 叶夫根尼·布尔纳耶夫，俄罗斯斯科尔科沃科技大学
17. 阿迪提亚·拉姆达斯，美国卡内基梅隆大学
18. 本杰明·勒鲁瓦，美国卡内基梅隆大学
19. 维克托·切尔诺朱科夫，美国麻省理工学院
20. 乌尔夫·诺林德，瑞典斯德哥尔摩大学
21. 奥拉·斯皮尤斯，瑞典乌普萨拉大学
22. 伊利亚·努雷特季诺夫，英国皇家霍洛威大学
23. 谢瑶，佐治亚理工学院
24. 任志铭，芝加哥大学
25. 拉斐尔·伊兹比基，巴西圣卡洛斯联邦大学（UFSCar）
26. 丽娜·福伊格尔·巴伯，芝加哥大学
27. 马泰奥·塞西亚，南加州大学马歇尔商学院
28. 西蒙·万蒂尼，意大利米兰理工大学MOX数学系

文章

1. 衡量模型的不确定性：共形预测 作者：Leo Dreyfus-Schmidt（Dataiku，2020年）。🔥🔥🔥🔥🔥
2. 神经网络回归模型的共形预测 作者：Pranab Ghosh（2021年）。🔥🔥🔥🔥🔥
3. 如何处理预测中的不确定性 作者：Michael Berk（2021年）
4. 如何使用共形预测为您的模型添加不确定性估计 作者：Zachary Warnes（2021年）
5. nonconformist：一种简便的预测区间估计方法 作者：Maria Jesus Ugarte（2021年）。
6. 检测异常数据：共形异常检测 作者：Matthew Burruss（2020年）。
7. “MAPIE”详解——就像你一直希望有人解释的那样 作者：Samuele Mazzanti（2022年）。🔥🔥🔥🔥🔥
8. 借助MAPIE，不确定性重新回归机器学习 作者：Vianney Taquet（2021年）🔥🔥🔥🔥🔥
9. 如何利用共形分位数回归预测风险比例区间 作者：Samuele Mazzanti（2022年）。🔥🔥🔥🔥🔥
10. 斯坦福大学统计学家与华盛顿邮报数据科学家共同构建更诚实的预测模型 斯坦福大学（2021年）🔥🔥🔥🔥🔥
11. 如何检测异常——基于共形预测的最先进方法 作者：Valery Manokhin（2021年）🔥🔥🔥🔥🔥
12. 如何以智能方式校准分类器 作者：Valery Manokhin（2022年）🔥🔥🔥🔥🔥
13. 使用MAPIE进行共形预测的时序预测 作者：Valery Manokhin（2022年）时间序列🚀🚀🚀🚀🚀🔥🔥🔥🔥🔥
14. 如何利用机器学习共形预测分布来预测完整的概率分布 作者：Valery Manokhin（2022年）🔥🔥🔥🔥🔥
15. 如何以更智能的方式预测分位数（或告别分位数回归，迎接共形分位数回归） 作者：Valery Manokhin（2022年）🔥🔥🔥🔥🔥
16. Julia中的共形预测，第一部分——简介 作者：Patrick Altmeyer（2022年）
17. 通过共形推断获取预测区间 作者：Rajiv Shah（2022年）
18. 如何对深度图像分类器进行共形化 作者：Patrick Altmeyer（2022年）
19. 使用共形预测区间进行时间序列预测：只需Scikit-Learn即可 作者：Marco Cerliani（2022年）时间序列🚀🚀🚀🚀🚀🔥🔥🔥🔥🔥
20. Julia中的共形预测，第二部分——如何对深度图像分类器进行共形化 作者：Patrick Altmeyer（2022年）
21. Julia中的共形预测，第三部分——适用于任何回归模型的预测区间 作者：Patrick Altmeyer（2022年）
22. 使用共形预测和NeuralProphet进行概率预测 作者：Valery Manokhin（2022年）时间序列🚀🚀🚀🚀🚀🔥🔥🔥🔥🔥
23. 使用共形预测区间进行时间序列预测：只需Scikit-Learn即可 作者：Marco Cerliani（2022年）时间序列🚀🚀🚀🚀🚀🔥🔥🔥🔥🔥
24. TQA：为横截面时间序列回归创建有效的预测区间 作者：Zhen Lin（UIUC，NeurIPS’22论文）时间序列🚀🚀🚀🚀🚀🔥🔥🔥🔥🔥
25. 共形预测：对预测模型的批判（2023年）
26. 使用共形预测和NeuralProphet进行多 horizon 概率预测 作者：Valery Manokhin 时间序列🚀🚀🚀🚀🚀🔥🔥🔥🔥🔥
27. 为不确定性划定清晰的界限（MIT，2023年）
28. 共形预测理论详解 作者：Artem Ryasik（2023年）
29. 针对时间序列的简易无分布共形区间 作者：Michael Keith（2023年）
30. 另一种（共形）预测概率分布的方式 作者：Harrison Hoffman（2023年）🔥🔥🔥🔥🔥
31. 如何使用完整的（转导式）共形预测 作者：Valery Manokhin（2023年）🔥🔥🔥🔥🔥
32. 用于回归的共形预测（使用KNIME） 作者：Artem Ryasik（2023年）
33. 适用于任何时间序列模型的动态共形区间 作者：Michael Keith（2023年）时间序列🚀🚀🚀🚀🚀🔥🔥🔥🔥🔥
34. 命中时间预测：时间序列概率预测的另一种方式 作者：Marco Cerliani（2023年）时间序列🚀🚀🚀🚀🚀🔥🔥🔥🔥🔥
35. 一系列关于共形预测的葡萄牙语文章 作者：Gustavo Bruschi（2023年）🔥🔥🔥🔥🔥
36. 斯坦福大学统计学家与华盛顿邮报数据科学家共同构建更诚实的预测模型 代码 🔥🔥🔥🔥🔥
37. Jackknife+——回归任务中共形预测的瑞士军刀 作者：Valeriy Manokhin（2023年）🔥🔥🔥🔥🔥
38. 临床AI工具必须为每位患者传达预测不确定性（2023年）🔥🔥🔥🔥🔥
39. 如何使用共形预测 作者：Yannick Kälber（2023年）🔥🔥🔥🔥🔥
40. 模型诊断：预测不确定性 作者：PiML团队，Wells Fargo（2023年）。
41. 通过共形预测使任何预测器具备不确定性感知能力 作者：Lorenzo Maggi（2023年）
42. 共形预测系统——使用KNIME的动手无代码示例 作者：Artem Ryasik（2023年）🔥🔥🔥🔥🔥
43. 用于分类的共形预测——使用KNIME的动手无代码示例 作者：Artem Ryasik（2023年）🔥🔥🔥🔥🔥
44. 共形化的分位数回归 作者：Lorenzo Maggi（2024年）
45. 在Python中利用共形预测加速可再生能源转型 作者：Inge van den Ende（2024年）
46. 五十（实际上是四十五）种共形预测变体 作者：Lorenzo Maggi（2024年）
47. 利用共形预测和自定义非一致性评分调整适应性预测区间 作者：Arnaud Capitaine（2024年）🔥🔥🔥🔥🔥
48. 使用共形化分位数回归的预测区间 作者：Vincent Wauters（2024年）。
49. 用于时间序列概率预测的共形化分位数回归 作者：Chris Kuo（2024年）🔥🔥🔥🔥🔥
50. 不确定性量化及其重要性 作者：Jonte Dancker（2024年）
51. 概率预测I：温度 作者：Stephane Degeye（2024年）
52. 利用共形预测预测车辆CO2排放量 作者：Claudio Giorgio Giancaterino（2024年）
53. 在协变量漂移存在的情况下探索自适应和加权共形预测方法 作者：Peter Tettey Yamak（2024年）🔥🔥🔥🔥🔥
54. 拥抱不确定性：共形预测的应用 作者：Robbert van Kortenhof（2024年）
55. tidymodels与共形预测 作者：Prasanna Bhogale（2024年）
56. 时间序列数据中共形预测的基础知识 作者：Prasanna Bhogale（2024年）
57. 在Python中利用共形预测加速可再生能源转型 作者：Inge van den Ende（2025年）

Kaggle

1. Kaggle Notebook，展示了在Playground Series 第3季第1集（加州住房数据）竞赛中使用的一致性预测分布，作者：Valeriy Manokhin（2022年）
2. Kaggle Notebook，展示了在Playground Series 第3季第2集（中风预测）竞赛中使用Venn-ABERs一致性预测的方法，作者：Valeriy Manokhin（2022年）
3. 使用MAPIE进行回归预测区间，作者：Carl McBride Ellis（2022年）
4. Lgbm & Mapie & 出生体重，太棒了！，作者：Patrick Blackwill（2023年）🔥🔥🔥🔥🔥
5. 使用Venn-ABERS校准分类器，作者：Carl McBride Ellis（2024年）🔥🔥🔥🔥🔥
6. CPB：关键的校准集，作者：L. Elaine Dazzio（2025年）
7. 最简单的一致性预测示例，作者：L. Elaine Dazzio（2025年）

网站

1. 包含Vladimir (Volodya) Vovk教授研究成果的主网站 🔥🔥🔥🔥🔥
2. 一致性预测——性能有保证的预测，英国皇家霍洛威学院
3. 一致性预测与无分布不确定性量化简介，作者：Anastasios N. Angelopoulos 🔥🔥🔥🔥🔥
4. 可靠的预测推断，作者：Yaniv Romano 🔥🔥🔥🔥🔥

Twitter

1. 标题：一致性推断能为统计学带来什么？，作者：Lihua Lei，斯坦福大学，2022年
2. 一致性生存分析，作者：Lihua Lei，斯坦福大学，2021年
3. 一致性风险控制，作者：Anastasious Angelopolous，伯克利大学，2022年
4. 稳定的一致性预测集，作者：Eugene Ndiaye（佐治亚理工学院，2022年）
5. 机器学习在不确定性量化方面表现不佳。但有一种解决方案听起来几乎好得令人难以置信：一致性预测，作者：Cristoph Molnar（2022年）。
6. 如何正确且高效地对预测的不确定性进行建模，作者：Nico Wolf（2022年）
7. 一致性预测十大GitHub库，作者：Valeriy Manokhin（2022年）
8. 会请求帮助的机器人，作者：Allen Z. Ren（2023年）🍾🍾🍾🍾🍾🔥🔥🔥🔥🔥

TikTok

1. 使用一致性预测获取预测区间，作者：Rajiv Shah（Hugging Face，2022年）
2. 为什么你需要预测区间而不是点预测，作者：Rajiv Shah（Hugging Face，2022年）
3. 确保你的模型校准良好非常重要，作者：Rajiv Shah（Hugging Face，2022年）

会议与研讨会

1. 第11届一致性与概率预测及其应用研讨会
2. IFDS关于一致性预测的研讨会 🔥🔥🔥🔥🔥
3. 2022年ICML无分布不确定性量化研讨会 🔥🔥🔥🔥🔥
4. 2021年ICML无分布不确定性量化研讨会🔥🔥🔥🔥🔥
5. 第10届一致性与概率预测及其应用研讨会 🔥🔥🔥🔥🔥
6. 第9届一致性与概率预测及其应用研讨会 🔥🔥🔥🔥🔥
7. 第8届一致性与概率预测及其应用研讨会 🔥🔥🔥🔥🔥
8. 第7届一致性与概率预测及其应用研讨会 🔥🔥🔥🔥🔥
9. 第6届一致性与概率预测及其应用研讨会 🔥🔥🔥🔥🔥

Python

1. TorchCP - 用于保形预测的库 🔥🔥🔥🔥🔥
2. 'Crêpes' - 保形回归器和预测系统 由亨里克·博斯特伦（2021年）开发 论文 🔥🔥🔥🔥🔥 演示文稿 由亨里克·博斯特伦（瑞典皇家理工学院，2022年）呈现 论文
3. 二分类和多分类 Venn-ABERS 校准的 Python 实现 由伊万·佩特耶（2023年）开发 [论文] 🔥🔥🔥🔥
4. Conformal Tights - 一个 scikit-learn 元估计器，可为任何 scikit-learn 回归器添加一致分位数和区间上的保形预测 由洛朗·索贝尔（Radix AI）于 2024 年开发 🔥🔥🔥🔥🔥
5. Puncc（预测不确定性校准与保形化） 论文 幻灯片 🔥🔥🔥🔥🔥
6. ConformaSight 全局解释器包 📦 由法蒂玛·拉比娅·亚普奇奥卢（2025年）开发
7. unquad - 保形异常检测 🔥🔥🔥🔥🔥
8. Puncc（预测不确定性校准与保形化） 论文 幻灯片 🔥🔥🔥🔥🔥
9. Nixtla mlforecast 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
10. Nixtla statsforecast 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
11. Conformal Impact 由泰勒·布鲁姆（2024年）开发 🔥🔥🔥🔥🔥

10.Nonconformist 由亨里克·利努森（2015年）开发 🚨 该库似乎未被积极维护 12. Venn-ABERS 预测器 由保罗·托卡切利（2019年）开发 论文 🔥🔥🔥🔥🔥 13. 保形分位数回归 由亚尼夫·罗马诺（2019年）开发 🔥🔥🔥🔥🔥 14. Orange3 保形预测使用 Venn-ABERS（保形）预测进行多分类概率分类 由瓦列里·马诺金（皇家霍洛威学院，2022年）开发 15. Copula 保形多目标回归 由桑杜斯·梅苏迪（2021年）开发 16. 保形直方图回归：非参数回归问题中的高效一致性评分 由马特奥·塞西亚和亚尼夫·罗马诺（NeurIPS 2021）共同开发。🔥🔥🔥🔥🔥 17. 基于密度和距离的时间序列数据保形异常检测（KNN-CAD） 由叶夫根尼·布尔纳耶夫、弗拉季斯拉夫·伊希姆采夫（2016年）开发。在 Numenta 竞赛中获得前三名的解决方案 🔥🔥🔥🔥🔥 18. 保形时间序列预测 由卡米莱·斯坦凯维丘特（剑桥大学，NeurIPS 2021）开发 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 19. EnbPI 由陈旭（2021年）开发 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 论文 20. 时间序列自适应保形预测 由玛戈·扎夫兰、艾默里克·迪厄勒韦、奥利维埃·费龙、扬尼克·古德和朱莉·若瑟（2022年）开发 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 视频 代码 21. 从零开始的保形学习 由马尔哈丽塔·亚历山德罗娃（2021年）开发 22. 用于概率性时间序列预测的集成保形分位数回归 维尔德·延森、菲利波·玛丽亚·比安基和斯蒂安·诺曼·安芬森（2022年）开发 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 23. 保形在线学习：无需保留集的在线校准 由沙伊·费尔德曼、斯蒂芬·贝茨和亚尼夫·罗马诺（2022年）开发。 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 24. PySloth - 用于概率预测的 Python 包 由瓦列里·马诺金开发 🚀🚀🚀🚀🚀 🔥🔥🔥🔥 25. KNIME 中的保形预测 由图韦·洛夫斯特伦和 Redfield AB（2022年）开发 26. Nonconformist 由亨里克·利努森（2015年）开发 🔥🔥🔥🔥🔥 27. SKTime 由弗朗茨·基拉利（2022年）开发 28. NeuralProphet （2022年）🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 29. River 2022年 30. TorchUQ （2022年） 31. https://github.com/mikekeith52/scalecast 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 32. plot_utils - 用于保形预测指标的绘图库，旨在方便在笔记本等环境中快速测试 🔥🔥🔥🔥🔥 33. calibrated-explanations - 使用 Venn-Abers 和保形预测系统对机器学习模型进行校准解释的工具 由海伦娜·洛夫斯特伦（2023年）开发 34. Conformers - 非官方保形语言建模库 🚀🚀🚀🚀 35. 用 NumPy 从零开始实现保形预测 由琼斯·瓦克尔（2023年）开发 🔥🔥🔥🔥🔥 36. 数字土壤制图中的保形预测 由纳菲塞·卡哈尼（2023年）开发 37. conformal-prediction-jan2024 - PyLadies 阿姆斯特丹 由英格·范登恩德（2024年）开发 🔥🔥🔥🔥🔥 38. MFLES - 用于时间序列预测的梯度提升分解 由泰勒·布鲁姆（2024年）开发 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥 39. confopt - 用于保形超参数调优的库 由里卡多·多伊尔（2024年）开发 论文 🔥🔥🔥🔥🔥 40. [crepes-weighted crepes 包的加权扩展，以实现加权保形预测和能够处理协变量漂移的保形预测系统](https://github.com/predict-idlab/crepes-weighted 🔥🔥🔥🔥🔥 41. pearsonify - 用于二分类任务中基于皮尔逊残差和保形预测生成分类区间的轻量级 Python 包 （2025年） 42. HyperConformal：面向高维计算的保形预测 🔥🔥🔥🔥🔥（2025年） 43. (F)FCP：利用（快速）特征保形预测进行预测推断 🔥🔥🔥🔥🔥（2026年）

R

1. pintervals - 模型无关的预测区间 论文 由 David Randahl、Anders Hjort 和 Jonathan P. Williams（2026年）撰写 🔥🔥🔥🔥🔥
2. tidymodels 中的一致性预测 由 Max Kuhn（Posit/RStudio，2023年）编写 视频 🔥🔥🔥🔥🔥
3. Modeltime（2023年）由 Matt Dancho（Business Science，2023年）开发 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥
4. 使用 marginaleffects 包对 80 多种类型的 R 模型进行一致性预测 由 Vincent Arel-Bundock（2023年）撰写 🔥🔥🔥🔥🔥
5. conformalForecast 时间序列 🚀🚀🚀🚀🚀 🔥🔥🔥🔥🔥（2024年）
6. AdaptiveConformal（2023年）论文 🔥🔥🔥🔥🔥
7. Conformal Inference R 项目 由 Ryan Tibshirani 维护（2016年）🔥🔥🔥🔥🔥
8. Prediction Bands 由 Rafael Izbicki 和 Benjamin LeRoy（2019年）开发
9. Conformal：一个用于在一致性预测框架中计算预测误差的 R 包 由 Isidro Cortes 于 2019 年创建
10. 在线时间序列异常检测器 由 Alaine Iturria 开发，2021年发布 🔥🔥🔥🔥🔥
11. piRF - 随机森林的预测区间 由 Chancellor Johnstone 和 Haozhe Zhang（2019年）共同开发
12. conformalClassification：分类问题中的归纳与转导一致性预测 由 Niharika Gauraha 和 Ola Spjuth（2019年）编写
13. 空间一致性预测的 R 包
14. conformalInference.multi：多变量响应回归的一致性推断工具 由 Jacopo Diquigiovanni、Matteo Fontana、Aldo Solari、Simone Vantini、Paolo Vergottini 和 Ryan Tibshirani 共同开发（2021年）🔥🔥🔥🔥🔥
15. Conformal：一个用于在一致性预测框架中计算预测误差的 R 包 由 Isidro Cortes 于 2019 年创建
16. cfsurvival - 实现一致性生存分析方法的 R 包 论文
17. ClusTorus：基于一致性预测的环面上预测与聚类 R 包 由 Seungki Hong 和 Sungkyu Jung（2022年）开发
18. conformal glm - 广义线性回归模型的一致性预测 由 Daniel Eck（2019年）编写
19. caretForecast - 使用先进机器学习算法的一致性时间序列预测
20. 局部一致性预测 - LCP
21. conformalbayes - 贝叶斯模型的刀切法(+)预测区间（2022年）
22. conformal.fd 多重函数响应回归的一致性推断预测区域（2021年）
23. cRepes-R，Python crepes 包的 R 实现 - 用于回归、分类和预测系统的一致性预测

Julia

1. ConformalPrediction.jl 由 Patrick Altmeyer（2022年）开发 文章 - Julia 中的一致性预测，第一部分 - 简介 文章 - Julia 中的一致性预测，第二部分 - 如何将深度图像分类器一致性化 文章 - Julia 中的一致性预测，第三部分 - 任意回归模型的预测区间
2. RandomForest 由 Henrik Boström（2017年）开发 🔥🔥🔥🔥🔥
3. PostForecasts.jl 由 Arkadiusz Lipiecki 和 Rafal Weron（2025年）开发 论文 论文

其他语言

1. LibCP -- 一致性预测库 🔥🔥🔥🔥🔥
2. Venn-ABERS 预测器的实现 🔥🔥🔥🔥🔥
3. LibVM -- Venn Machine 库
4. Scala-CP 由 Marco Capuccini（2017年）开发 🔥🔥🔥🔥🔥（参见教程部分“Spark 中的一致性预测”）

AI 平台

1. Knime 中的一致性预测 演示文稿 🔥🔥🔥🔥🔥
2. DataRobot - 通过一致性推断生成预测区间
3. AWS Fortuna 由 Amazon 开发（2022年）🔥🔥🔥🔥🔥
4. Microsoft Azure

Awesome Conformal Prediction 快速上手指南

awesome-conformal-prediction 并非一个单一的代码库或软件包，而是一个由社区维护的权威资源汇总列表。它汇集了关于共形预测（Conformal Prediction）、不确定性量化（Uncertainty Quantification）和可靠 AI 的顶级教程、论文、书籍、课程以及开源库（涵盖 Python, R, Julia 等）。

本指南将帮助你利用该资源快速找到适合的工具并开始使用。

环境准备

由于该仓库本身是资源索引，你需要根据从中选择的具体工具来准备环境。大多数主流共形预测库基于 Python。

• 操作系统: Windows, macOS, 或 Linux
• 前置依赖:
  • Python 3.8 或更高版本
  • pip 或 conda 包管理器
  • 基础数据科学栈：numpy, pandas, scikit-learn
• 推荐国内加速方案:
  • 安装 Python 包时，建议使用清华源或阿里源以提升下载速度：

    pip install -i https://pypi.tuna.tsinghua.edu.cn/simple <package_name>
    

安装步骤

你不需要“安装”这个列表本身，而是需要从中选择一个具体的库进行安装。以下是两个最流行且易于上手的 Python 共形预测库的安装命令：

选项 A: 安装 MAPIE (Model Agnostic Prediction Interval Estimator)

适用于分类和回归任务，与 scikit-learn 高度兼容。

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple mapie

选项 B: 安装 conformal-prediction (由 Valeman 等人维护的通用库)

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple conformal-prediction

提示: 你可以在 awesome-conformal-prediction 仓库的 "Python" 章节中找到更多库的列表和对比。

基本使用

以下以 MAPIE 为例，展示如何在一个简单的回归任务中应用共形预测，生成具有统计保证的预测区间。

1. 导入依赖并准备数据

import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
from mapie.regression import MapieRegressor

# 生成示例数据
np.random.seed(42)
X = np.linspace(0, 10, 100).reshape(-1, 1)
y = 2 * X.squeeze() + np.random.normal(0, 1, 100)

# 划分训练集和校准集（共形预测通常需要独立的校准集）
X_train, X_calib, y_train, y_calib = train_test_split(X, y, test_size=0.5, random_state=42)

2. 初始化并训练模型

# 初始化基础模型 (例如线性回归)
base_model = LinearRegression()

# 初始化 MAPIE 包装器
# alpha=0.1 表示我们需要 90% 的置信水平 (即 1 - 0.1)
mapie = MapieRegressor(estimator=base_model, method="plus", cv="split")

# 拟合模型 (传入训练数据和校准数据)
# 注意：在 split 模式下，fit 方法内部会处理校准逻辑
mapie.fit(X_train, y_train, X_calib=X_calib, y_calib=y_calib)

3. 进行预测并获取区间

# 对新数据进行预测
X_new = np.linspace(0, 10, 10).reshape(-1, 1)
y_pred, y_pis = mapie.predict(X_new, alpha=0.1)

# 输出结果
print(f"预测值: {y_pred}")
print(f"预测区间下限: {y_pis[:, 0, 0]}")
print(f"预测区间上限: {y_pis[:, 1, 0]}")

下一步学习

访问 awesome-conformal-prediction 仓库中的 Tutorials 和 Courses 部分，获取由专家 Valeriy Manokhin 整理的深入教程和视频课程，以掌握更高级的应用场景（如时间序列、异常检测等）。