Moment Multicalibration for Uncertainty Estimation

18 August 2020

Papers citing "Moment Multicalibration for Uncertainty Estimation"

50 / 50 papers shown

Title
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction L. Laan Ahmed Alaa 219 1 0 01 Jul 2025
Improved Bounds for Swap Multicalibration and Swap Omniprediction Haipeng Luo Spandan Senapati Vatsal Sharan 32 0 0 27 May 2025
Three Types of Calibration with Properties and their Semantic and Formal Relationships Rabanus Derr Jessie Finocchiaro Robert C. Williamson 155 0 0 25 Apr 2025
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents Shayan Kiyani George Pappas Aaron Roth Hamed Hassani 314 4 0 04 Feb 2025
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration Karina Halevy Karly Hou Charumathi Badrinath 246 0 0 13 Dec 2024
Learning With Multi-Group Guarantees For Clusterable Subpopulations Jessica Dai Nika Haghtalab Eric Zhao 71 1 0 18 Oct 2024
Automatically Adaptive Conformal Risk Control Vincent Blot Anastasios Nikolas Angelopoulos Michael I Jordan Nicolas Brunel AI4CE 434 3 0 25 Jun 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 88 8 0 10 Jun 2024
Reconciling Model Multiplicity for Downstream Decision Making Ally Yalei Du Dung Daniel Ngo Zhiwei Steven Wu 59 5 0 30 May 2024
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks Lujing Zhang Aaron Roth Linjun Zhang FaML 175 9 0 03 May 2024
Omnipredictors for Regression and the Approximate Rank of Convex Functions Parikshit Gopalan Princewill Okoroafor Prasad Raghavendra Abhishek Shetty Mihir Singhal 95 8 0 26 Jan 2024
Using Property Elicitation to Understand the Impacts of Fairness Regularizers Jessie Finocchiaro FaML 75 0 0 20 Sep 2023
Oracle Efficient Online Multicalibration and Omniprediction Sumegha Garg Christopher Jung Omer Reingold Aaron Roth 42 23 0 18 Jul 2023
Loss Minimization Yields Multicalibration for Large Neural Networks Jarosław Błasiok Parikshit Gopalan Lunjia Hu Adam Tauman Kalai Preetum Nakkiran FaML UQCV 93 13 0 19 Apr 2023
HappyMap: A Generalized Multi-calibration Method Zhun Deng Cynthia Dwork Linjun Zhang 228 19 0 08 Mar 2023
Feature Importance Disparities for Data Bias Investigations Peter W. Chang Leor Fishman Seth Neel 81 2 0 03 Mar 2023
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning Nika Haghtalab Michael I. Jordan Eric Zhao 102 12 0 21 Feb 2023
The Scope of Multicalibration: Characterizing Multicalibration via Property Elicitation Georgy Noarov Aaron Roth 63 4 0 16 Feb 2023
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration Parikshit Gopalan Michael P. Kim Omer Reingold 47 20 0 13 Feb 2023
On the Within-Group Fairness of Screening Classifiers Nastaran Okati Stratis Tsirtsis Manuel Gomez Rodriguez 93 2 0 31 Jan 2023
Multicalibration as Boosting for Regression Ira Globus-Harris Declan Harrison Michael Kearns Aaron Roth Jessica Sorrell 104 25 0 31 Jan 2023
From Pseudorandomness to Multi-Group Fairness and Back Cynthia Dwork Daniel Lee Huijia Lin Pranay Tankala FaML 82 11 0 21 Jan 2023
Fair Ranking with Noisy Protected Attributes Anay Mehrotra Nisheeth K. Vishnoi 79 19 0 30 Nov 2022
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes Lunjia Hu Charlotte Peale 45 8 0 16 Nov 2022
Making Decisions under Outcome Performativity Michael P. Kim Juan C. Perdomo 87 21 0 04 Oct 2022
Batch Multivalid Conformal Prediction Christopher Jung Georgy Noarov Ramya Ramalingam Aaron Roth 253 53 0 30 Sep 2022
Fair admission risk prediction with proportional multicalibration William La Cava Elle Lett Guangya Wan 72 8 0 29 Sep 2022
Multicalibrated Regression for Downstream Fairness Ira Globus-Harris Varun Gupta Christopher Jung Michael Kearns Jamie Morgenstern Aaron Roth FaML 106 12 0 15 Sep 2022
Reconciling Individual Probability Forecasts Aaron Roth A. Tolbert S. Weinstein 64 14 0 04 Sep 2022
Practical Adversarial Multivalid Conformal Prediction Osbert Bastani Varun Gupta Christopher Jung Georgy Noarov Ramya Ramalingam Aaron Roth 198 56 0 02 Jun 2022
Decision-Making under Miscalibration G. Rothblum G. Yona 49 5 0 18 Mar 2022
Low-Degree Multicalibration Parikshit Gopalan Michael P. Kim M. Singhal Shengjia Zhao FaML UQCV 99 41 0 02 Mar 2022
Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization D. Durfee Aman Gupta Kinjal Basu UQCV 34 2 0 10 Feb 2022
An Exploration of Multicalibration Uniform Convergence Bounds Harrison Rosenberg Robi Bhattacharjee Kassem Fawaz S. Jha 48 1 0 09 Feb 2022
Improving Screening Processes via Calibrated Subset Selection Lequn Wang Thorsten Joachims Manuel Gomez Rodriguez CML 88 18 0 02 Feb 2022
An Algorithmic Framework for Bias Bounties Ira Globus-Harris Michael Kearns Aaron Roth FedML 186 27 0 25 Jan 2022
Scaffolding Sets M. Burhanpurkar Zhun Deng Cynthia Dwork Linjun Zhang 81 9 0 04 Nov 2021
Omnipredictors Parikshit Gopalan Adam Tauman Kalai Omer Reingold Vatsal Sharan Udi Wieder 84 54 0 11 Sep 2021
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration Shengjia Zhao Michael P. Kim Roshni Sahoo Tengyu Ma Stefano Ermon 72 58 0 12 Jul 2021
Multiaccurate Proxies for Downstream Fairness Emily Diana Wesley Gill Michael Kearns K. Kenthapadi Aaron Roth Saeed Sharifi-Malvajerdi 80 22 0 09 Jul 2021
Assessing Generalization of SGD via Disagreement Yiding Jiang Vaishnavh Nagarajan Christina Baek J. Zico Kolter 102 115 0 25 Jun 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation Yu Bai Song Mei Huan Wang Caiming Xiong UQCV 51 13 0 10 Jun 2021
Multi-group Agnostic PAC Learnability G. Rothblum G. Yona FaML 127 39 0 20 May 2021
Multicalibrated Partitions for Importance Weights Parikshit Gopalan Omer Reingold Vatsal Sharan Udi Wieder 60 12 0 10 Mar 2021
Lexicographically Fair Learning: Algorithms and Generalization Emily Diana Wesley Gill Ira Globus-Harris Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FedML FaML 103 9 0 16 Feb 2021
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification Yu Bai Song Mei Haiquan Wang Caiming Xiong 76 42 0 15 Feb 2021
Private Prediction Sets Anastasios Nikolas Angelopoulos Stephen Bates Tijana Zrnic Michael I. Jordan 86 12 0 11 Feb 2021
Online Multivalid Learning: Means, Moments, and Prediction Intervals Varun Gupta Christopher Jung Georgy Noarov Mallesh M. Pai Aaron Roth 102 44 0 05 Jan 2021
Stronger Calibration Lower Bounds via Sidestepping Mingda Qiao Gregory Valiant 100 24 0 07 Dec 2020
Outcome Indistinguishability Cynthia Dwork Michael P. Kim Omer Reingold G. Rothblum G. Yona 76 68 0 26 Nov 2020