Author

Idan Attias

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#machine learning Preprint Sep 2026

Vanilla Policy Optimization Is Both Optimal and Differentially Private for Stochastic Contextual Bandits

This work develops a batched version of vanilla policy optimization using only $O(\log T)$ regression calls and policy switches, and shows how private regression oracles yield differentially private contextual bandit algorithms without composition across batches.

Idan Attias, Orin Levy, Alexander Ryabchenko et al. · 0 citations