Author

Alexander Ryabchenko

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#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

#machine learning Preprint Sep 2026

Adaptively Incorporating Directional Hints into Zeroth-Order Optimization

Control-Variate Zeroth-Order Descent (CV-ZOD) is introduced, a new framework that refines the classical zeroth-order gradient estimator with a control variate that can be set based on the directional hints to leverage these hints adaptively while maintaining robustness to their quality.

Alexander Ryabchenko, Jian Qian, Wenlong Mou · 0 citations