Distribution-Free, Risk-Controlling Prediction Sets

7 January 2021

Stephen Bates

Anastasios Nikolas Angelopoulos

Papers citing "Distribution-Free, Risk-Controlling Prediction Sets"

48 / 48 papers shown

Title
Multivariate Conformal Selection Tian Bai Yue Zhao Xiang Yu Archer Y. Yang BDL 148 0 0 01 May 2025
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 82 3 0 09 Oct 2024
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering K. K. Bernhard Schölkopf Michael Muehlebach 28 0 0 02 Oct 2024
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection Matteo Zecchin Sangwoo Park Osvaldo Simeone LM&MA 69 3 0 24 Sep 2024
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation Xiaowei Mao Yan Lin S. Guo Yubin Chen Xingyu Xian Haomin Wen Qisen Xu Youfang Lin Huaiyu Wan 39 1 0 23 Aug 2024
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation Adam Fisch Joshua Maynez R. A. Hofer Bhuwan Dhingra Amir Globerson William W. Cohen 36 7 0 06 Jun 2024
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction Jeffrey Wen Rizwan Ahmad Philip Schniter 39 2 0 28 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 53 1 0 20 May 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 40 12 0 16 Apr 2024
Uncertainty Visualization via Low-Dimensional Posterior Projections Omer Yair E. Nehme T. Michaeli UQCV 35 2 0 12 Dec 2023
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models Thomas P. Zollo Todd Morrill Zhun Deng Jake C. Snell T. Pitassi Richard Zemel 43 8 0 22 Nov 2023
Conformal Prediction for Deep Classifier via Label Ranking Jianguo Huang Huajun Xi Linjun Zhang Huaxiu Yao Yue Qiu Hongxin Wei 39 21 0 10 Oct 2023
Conformal PID Control for Time Series Prediction Anastasios Nikolas Angelopoulos Emmanuel J. Candes R. Tibshirani AI4TS 24 59 0 31 Jul 2023
Inference-time Stochastic Ranking with Risk Control Ruocheng Guo Jean-François Ton Yang Liu Hang Li 30 2 0 12 Jun 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification Charles Lu Yaodong Yu Sai Praneeth Karimireddy Michael I. Jordan Ramesh Raskar FedML 34 21 0 27 May 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 53 10 0 13 Apr 2023
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning Sangwoo Park Osvaldo Simeone 21 9 0 06 Apr 2023
PAC Prediction Sets for Large Language Models of Code Adam Khakhar Stephen Mell Osbert Bastani 20 6 0 17 Feb 2023
Improved Online Conformal Prediction via Strongly Adaptive Online Learning Aadyot Bhatnagar Haiquan Wang Caiming Xiong Yu Bai AI4TS 33 47 0 15 Feb 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Jacopo Teneggi Matthew Tivnan J. W. Stayman Jeremias Sulam DiffM 32 28 0 07 Feb 2023
Conformal inference is (almost) free for neural networks trained with early stopping Zi-Chen Liang Yan Zhou Matteo Sesia BDL 18 10 0 27 Jan 2023
Conformal Prediction for Trustworthy Detection of Railway Signals Léo Andéol Thomas Fel F. D. Grancey Luca Mossina 24 5 0 26 Jan 2023
Loss-Controlling Calibration for Predictive Models Di Wang Junzhi Shi Pingping Wang Shuo Zhuang Hongyue Li 21 0 0 11 Jan 2023
Conformal Loss-Controlling Prediction Di Wang Pingping Wang Zhong Ji Xiaojun Yang Hongyue Li 29 1 0 06 Jan 2023
Conffusion: Confidence Intervals for Diffusion Models Eliahu Horwitz Yedid Hoshen DiffM 29 28 0 17 Nov 2022
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction Roel Hulsman 16 5 0 26 Oct 2022
Efficiently Controlling Multiple Risks with Pareto Testing Bracha Laufer-Goldshtein Adam Fisch Regina Barzilay Tommi Jaakkola 36 16 0 14 Oct 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey S. Sun AI4CE 32 10 0 08 Sep 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 23 16 0 25 Aug 2022
MAPIE: an open-source library for distribution-free uncertainty quantification V. Taquet Vincent Blot Thomas Morzadec L. Lacombe Nicolas Brunel UQCV 21 17 0 25 Jul 2022
Semantic uncertainty intervals for disentangled latent spaces S. Sankaranarayanan Anastasios Nikolas Angelopoulos Stephen Bates Yaniv Romano Phillip Isola UQCV 23 21 0 20 Jul 2022
PAC Prediction Sets for Meta-Learning Sangdon Park Edgar Dobriban Insup Lee Osbert Bastani 28 15 0 06 Jul 2022
Recommendation Systems with Distribution-Free Reliability Guarantees Anastasios Nikolas Angelopoulos K. Krauth Stephen Bates Yixin Wang Michael I. Jordan 32 12 0 04 Jul 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 17 22 0 30 May 2022
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking Minghan Li Xinyu Crystina Zhang Ji Xin Hongyang R. Zhang Jimmy J. Lin 38 6 0 19 May 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 23 48 0 12 May 2022
Training-conditional coverage for distribution-free predictive inference Michael Bian Rina Foygel Barber 26 25 0 07 May 2022
Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation Jannis Bulian Christian Buck Wojciech Gajewski Benjamin Boerschinger Tal Schuster 22 43 0 15 Feb 2022
Learning Optimal Conformal Classifiers David Stutz Krishnamurthy Dvijotham Dvijotham A. Cemgil Arnaud Doucet 19 79 0 18 Oct 2021
Tracking the risk of a deployed model and detecting harmful distribution shifts A. Podkopaev Aaditya Ramdas 27 22 0 12 Oct 2021
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Emmanuel J. Candès Michael I. Jordan Lihua Lei 97 125 0 03 Oct 2021
PAC Prediction Sets Under Covariate Shift Sangdon Park Edgar Dobriban Insup Lee Osbert Bastani 27 42 0 17 Jun 2021
Root-finding Approaches for Computing Conformal Prediction Set Eugène Ndiaye Ichiro Takeuchi 23 10 0 14 Apr 2021
Few-shot Conformal Prediction with Auxiliary Tasks Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 181 53 0 17 Feb 2021
Active Deep Learning on Entity Resolution by Risk Sampling Youcef Nafa Qun Chen Zhaoqiang Chen Xingyu Lu Haiyang He Tianyi Duan Zhanhuai Li 10 16 0 23 Dec 2020
Exchangeability, Conformal Prediction, and Rank Tests Arun K. Kuchibhotla 27 47 0 13 May 2020
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction Sangdon Park Osbert Bastani Nikolai Matni Insup Lee UQCV 133 68 0 31 Dec 2019
Cross-conformal predictors V. Vovk 128 196 0 03 Aug 2012