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Yulian Wu

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#machine learning Preprint Oct 2026

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

AO-Pri-BAI is proposed, an adaptive algorithm that maintains private running estimates through Laplace-tree mechanisms and learns a sampling design through a min--max interaction between hard alternatives and arm allocations that satisfies pure $\epsilon$-differential privacy.

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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