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Hao-Yang Hong

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#machine learning Preprint Sep 2026

When Greedy Sampling Explores: KL-Regularized Contextual Bandits without Eluder-Dimension Dependence

This work shows that simple greedy sampling can achieve polylogarithmic regret without explicit dependence on this complexity measure, and reveals a trade-off between greedy sampling and upper confidence bound-style exploration: greedy sampling enjoys stronger regret guarantees when KL regularization is sufficiently st...

Zi-Chen Wang, Hao-Yang Hong, Hua-Zheng Wang · 1 citation

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