activity
20242026
collaborators

10 papers

cs.DS2026

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…

cs.CC2026

Supersimulators

Cynthia Dwork, Pranay Tankala

We prove that every randomized Boolean function admits a supersimulator: a randomized polynomial-size circuit whose output on random inputs cannot be efficiently distinguished from…

cs.CC2026

Efficient and Private Property Testing via Indistinguishability

Cynthia Dwork, Pranay Tankala

Given a small random sample of -bit strings labeled by an unknown Boolean function, which properties of this function can be tested computationally efficiently? We show an equiv…

cs.LG2026

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…

cs.LG2025

Efficient Calibration for Decision Making

Parikshit Gopalan, Konstantinos Stavropoulos, Kunal Talwar +1

A decision-theoretic characterization of perfect calibration is that an agent seeking to minimize a proper loss in expectation cannot improve their outcome by post-processing a per…

cs.LG2025

From Pseudorandomness to Multi-Group Fairness and Back

Cynthia Dwork, Daniel Lee, Huijia Lin +1

We identify and explore connections between the recent literature on multi-group fairness for prediction algorithms and the pseudorandomness notions of leakage-resilience and graph…