Search Results for author: Moshe Shenfeld

Found 3 papers, 0 papers with code

Generalization in the Face of Adaptivity: A Bayesian Perspective

no code implementations NeurIPS 2023 Moshe Shenfeld, Katrina Ligett

Repeated use of a data sample via adaptively chosen queries can rapidly lead to overfitting, wherein the empirical evaluation of queries on the sample significantly deviates from their mean with respect to the underlying data distribution.

A New Analysis of Differential Privacy's Generalization Guarantees

no code implementations9 Sep 2019 Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld

This second claim follows from a thought experiment in which we imagine that the dataset is resampled from the posterior distribution after the mechanism has committed to its answers.

A necessary and sufficient stability notion for adaptive generalization

no code implementations NeurIPS 2019 Katrina Ligett, Moshe Shenfeld

We introduce a new notion of the stability of computations, which holds under post-processing and adaptive composition.

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