Loss Minimization through the Lens of Outcome Indistinguishability

16 October 2022

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

7 / 7 papers shown

Title
Three Types of Calibration with Properties and their Semantic and Formal Relationships Rabanus Derr Jessie Finocchiaro Robert C. Williamson 28 0 0 25 Apr 2025
Multicalibration for Confidence Scoring in LLMs Gianluca Detommaso Martín Bertrán Riccardo Fogliato Aaron Roth 24 12 0 06 Apr 2024
Omnipredictors for Regression and the Approximate Rank of Convex Functions Parikshit Gopalan Princewill Okoroafor Prasad Raghavendra Abhishek Shetty Mihir Singhal 32 6 0 26 Jan 2024
Oracle Efficient Online Multicalibration and Omniprediction Sumegha Garg Christopher Jung Omer Reingold Aaron Roth 15 18 0 18 Jul 2023
A Unifying Theory of Distance from Calibration Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 21 32 0 30 Nov 2022
Making Decisions under Outcome Performativity Michael P. Kim Juan C. Perdomo 27 20 0 04 Oct 2022
Patterns, predictions, and actions: A story about machine learning Moritz Hardt Benjamin Recht SSL AI4TS AI4CE 35 30 0 10 Feb 2021