2 papers
stat.ML2026
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity
Alireza F. Pour, Hassan Ashtiani, Shahab Asoodeh
We study the problem of hypothesis selection under the constraint of local differential privacy. Given a class of distributions and a set of i.i.d. samples from a…
cs.LG2025
Simplifying Adversarially Robust PAC Learning with Tolerance
Hassan Ashtiani, Vinayak Pathak, Ruth Urner
Adversarially robust PAC learning has proved to be challenging, with the currently best known learners [Montasser et al., 2021a] relying on improper methods based on intricate comp…