Loss Minimization through the Lens of Outcome Indistinguishability

16 October 2022

Papers citing "Loss Minimization through the Lens of Outcome Indistinguishability"

28 / 28 papers shown

Title
Three Types of Calibration with Properties and their Semantic and Formal Relationships Rabanus Derr Jessie Finocchiaro Robert C. Williamson 38 0 0 25 Apr 2025
Dimension-Free Decision Calibration for Nonlinear Loss Functions Jingwu Tang Jiayun Wu Zhiwei Steven Wu Jiahao Zhang 35 0 0 22 Apr 2025
How Global Calibration Strengthens Multiaccuracy Sílvia Casacuberta Parikshit Gopalan Varun Kanade Omer Reingold 32 0 0 21 Apr 2025
Revisiting the Predictability of Performative, Social Events Juan C. Perdomo 41 1 0 12 Mar 2025
When does a predictor know its own loss? Aravind Gollakota Parikshit Gopalan Aayush Karan Charlotte Peale Udi Wieder UQCV FaML 67 0 0 27 Feb 2025
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 43 4 0 10 Jun 2024
Optimal Multiclass U-Calibration Error and Beyond Haipeng Luo Spandan Senapati Vatsal Sharan 29 4 0 28 May 2024
Multigroup Robustness Lunjia Hu Charlotte Peale Judy Hanwen Shen OOD 38 1 0 01 May 2024
Predict to Minimize Swap Regret for All Payoff-Bounded Tasks Lunjia Hu Yifan Wu 40 3 0 21 Apr 2024
Multicalibration for Confidence Scoring in LLMs Gianluca Detommaso Martín Bertrán Riccardo Fogliato Aaron Roth 29 12 0 06 Apr 2024
Forecasting for Swap Regret for All Downstream Agents Aaron Roth Mirah Shi 27 10 0 13 Feb 2024
On Computationally Efficient Multi-Class Calibration Parikshit Gopalan Lunjia Hu G. Rothblum 12 6 0 12 Feb 2024
Omnipredictors for Regression and the Approximate Rank of Convex Functions Parikshit Gopalan Princewill Okoroafor Prasad Raghavendra Abhishek Shetty Mihir Singhal 43 6 0 26 Jan 2024
Oracle Efficient Algorithms for Groupwise Regret Krishna Acharya Eshwar Ram Arunachaleswaran Sampath Kannan Aaron Roth Juba Ziani AI4TS 42 2 0 07 Oct 2023
Oracle Efficient Online Multicalibration and Omniprediction Sumegha Garg Christopher Jung Omer Reingold Aaron Roth 23 18 0 18 Jul 2023
U-Calibration: Forecasting for an Unknown Agent Robert D. Kleinberg R. Leme Jon Schneider Yifeng Teng AI4TS 29 20 0 30 Jun 2023
Agnostically Learning Single-Index Models using Omnipredictors Aravind Gollakota Parikshit Gopalan Adam R. Klivans Konstantinos Stavropoulos 26 10 0 18 Jun 2023
When Does Optimizing a Proper Loss Yield Calibration? Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 36 23 0 30 May 2023
Loss Minimization Yields Multicalibration for Large Neural Networks Jarosław Błasiok Parikshit Gopalan Lunjia Hu Adam Tauman Kalai Preetum Nakkiran FaML UQCV 43 10 0 19 Apr 2023
Agnostic Multi-Robust Learning Using ERM Saba Ahmadi Avrim Blum Omar Montasser Kevin Stangl AAML OOD 36 0 0 15 Mar 2023
Generative Models of Huge Objects Lunjia Hu Inbal Livni-Navon Omer Reingold 34 1 0 24 Feb 2023
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration Parikshit Gopalan Michael P. Kim Omer Reingold 20 15 0 13 Feb 2023
From Pseudorandomness to Multi-Group Fairness and Back Cynthia Dwork Daniel Lee Huijia Lin Pranay Tankala FaML 22 9 0 21 Jan 2023
A Unifying Theory of Distance from Calibration Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 31 32 0 30 Nov 2022
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes Lunjia Hu Charlotte Peale 43 6 0 16 Nov 2022
Making Decisions under Outcome Performativity Michael P. Kim Juan C. Perdomo 46 20 0 04 Oct 2022
Omnipredictors for Constrained Optimization Lunjia Hu Inbal Livni-Navon Omer Reingold Chutong Yang 23 14 0 15 Sep 2022
Patterns, predictions, and actions: A story about machine learning Moritz Hardt Benjamin Recht SSL AI4TS AI4CE 44 31 0 10 Feb 2021