3 citations · 7 across the 11 of their papers we have counts for
3 papers · 1 filter
Multigroup Fairness and Omniprediction: Separations and Equivalences
Sílvia Casacuberta, Parikshit Gopalan, Varun Kanade +3
Omniprediction is a learning guarantee which requires a single predictor to be competitive relative to the best hypothesis from a benchmark class for any loss chosen from a family…
Differentially Private Verification of Distribution Properties
Elbert Du, Cynthia Dwork, Pranay Tankala +1
A recent line of work initiated by Chiesa and Gur and further developed by Herman and Rothblum investigates the sample and communication complexity of verifying properties of distr…
The Importance of Being Smoothly Calibrated
Parikshit Gopalan, Konstantinos Stavropoulos, Kunal Talwar +1
Recent work has highlighted the centrality of smooth calibration [Kakade and Foster, 2008] as a robust measure of calibration error. We generalize, unify, and extend previous resul…