Multi-group Agnostic PAC Learnability

20 May 2021

Papers citing "Multi-group Agnostic PAC Learnability"

14 / 14 papers shown

Title
Omnipredictors for Regression and the Approximate Rank of Convex Functions Parikshit Gopalan Princewill Okoroafor Prasad Raghavendra Abhishek Shetty Mihir Singhal 48 6 0 26 Jan 2024
Oracle Efficient Online Multicalibration and Omniprediction Sumegha Garg Christopher Jung Omer Reingold Aaron Roth 23 18 0 18 Jul 2023
Group conditional validity via multi-group learning Samuel Deng Navid Ardeshir Daniel J. Hsu 35 1 0 07 Mar 2023
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes Lunjia Hu Charlotte Peale 43 6 0 16 Nov 2022
On-Demand Sampling: Learning Optimally from Multiple Distributions Nika Haghtalab Michael I. Jordan Eric Zhao FedML 55 35 0 22 Oct 2022
Loss Minimization through the Lens of Outcome Indistinguishability Parikshit Gopalan Lunjia Hu Michael P. Kim Omer Reingold Udi Wieder UQCV 43 32 0 16 Oct 2022
Omnipredictors for Constrained Optimization Lunjia Hu Inbal Livni-Navon Omer Reingold Chutong Yang 28 14 0 15 Sep 2022
Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability Lunjia Hu Charlotte Peale Omer Reingold 29 5 0 09 Mar 2022
Low-Degree Multicalibration Parikshit Gopalan Michael P. Kim M. Singhal Shengjia Zhao FaML UQCV 22 37 0 02 Mar 2022
An Exploration of Multicalibration Uniform Convergence Bounds Harrison Rosenberg Robi Bhattacharjee Kassem Fawaz S. Jha 22 1 0 09 Feb 2022
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification G. Rothblum G. Yona FaML 33 1 0 02 Oct 2021
Omnipredictors Parikshit Gopalan Adam Tauman Kalai Omer Reingold Vatsal Sharan Udi Wieder 36 47 0 11 Sep 2021
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications Daniel Lee Georgy Noarov Mallesh M. Pai Aaron Roth 27 13 0 09 Aug 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016