From Pseudorandomness to Multi-Group Fairness and Back

21 January 2023

Papers citing "From Pseudorandomness to Multi-Group Fairness and Back"

8 / 8 papers shown

Title
How Global Calibration Strengthens Multiaccuracy Sílvia Casacuberta Parikshit Gopalan Varun Kanade Omer Reingold 32 0 0 21 Apr 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
Active Fourier Auditor for Estimating Distributional Properties of ML Models Ayoub Ajarra Bishwamittra Ghosh Debabrota Basu MLAU 49 0 0 10 Oct 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 43 4 0 10 Jun 2024
On Computationally Efficient Multi-Class Calibration Parikshit Gopalan Lunjia Hu G. Rothblum 23 6 0 12 Feb 2024
Exploring pseudorandom value addition operations in datasets: A layered approach to escape from normal-Gaussian patterns Ergon Cugler de Moraes Silva 22 0 0 08 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
HappyMap: A Generalized Multi-calibration Method Zhun Deng Cynthia Dwork Linjun Zhang 68 17 0 08 Mar 2023