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Author

Yulian Wu

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#machine learning Preprint Oct 2026

Asymptotically Optimal Best Arm Identification with Fixed-Budget under Differential Privacy

Best arm identification under differential privacy is a pure-exploration problem in which both statistical efficiency and privacy protection must be achieved simultaneously. We study fixed-budget best arm identification for bandits under pure $\epsilon$-differential privacy, where the learner must recommend an arm afte...

Ke-Qin Chen, Jie Bian, Yu-Lian Wu et al. · 0 citations
Open access 2025

Optimal Regret of Bandits under Differential Privacy

This work revisits the regret lower and upper bounds of ϵ -global DP bandits and proves a tighter regret lower bound involving a novel information-theoretic quantity characterising the hardness of ϵ -global DP in stochastic bandits.

Achraf Azize, Yulian Wu, Junya Honda et al. · 0 citations

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