Author

Ting Wu

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Jul 2026

Nonlinear Bandit

An algorithm EHM is proposed that extends the adaptive Huber loss method with one-pass update with one-pass update and achieves an almost optimal regret of $\widetilde{\mathcal{O}(1)$ computational complexity with respect to current round $t$ and the time horizon $T$), which simultaneously achieves an almost optimal regret.

Tianshuo Zheng, Ting Wu, Zhi-Hua Zhou et al. · arXiv.org · 0 citations