Author

В. І. Ткачук

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#machine learning Preprint Oct 2026

Gaussian-Width Bounds for Offline-to-Online Linear Bandits

We study how offline data can help online learning in stochastic linear bandits. We focus on partially covered offline data, where only $k$ of the $d$ feature directions are poorly covered. Existing analyses of algorithms based on phased elimination and optimism give regret bounds of order $\widetilde O(\sqrt{dkT})$ in...

Kushagra Chandak, В. І. Ткачук, Xiao-Qi Tan et al. · 0 citations