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Impatient Bandits: Optimizing for the Long-Term Without Delay
Arxiv
0+阅读 · 6月22日
Minimax Quantile Lower Bounds for Interactive Statistical Decision Making with Privacy
Arxiv
0+阅读 · 6月22日
Improved Algorithms for Nash Welfare in Linear Bandits
Arxiv
0+阅读 · 6月21日
A Jointly Efficient and Optimal Algorithm for Heteroskedastic Generalized Linear Bandits with Adversarial Corruptions
Arxiv
0+阅读 · 6月22日
Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling
Arxiv
0+阅读 · 6月8日
Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
Arxiv
0+阅读 · 6月1日
Learning in Position-Aware Multinomial Logit Bandits: From Multiplicative to General Position Effects
Arxiv
0+阅读 · 5月17日
Asymptotic Optimality of Thompson Sampling for Risk-Averse Bandits with Sub-Gaussian Rewards
Arxiv
0+阅读 · 6月8日
When and why randomised exploration works (in linear bandits)
Arxiv
0+阅读 · 6月3日
Information-Theoretic Generalization Bounds for Sequential Decision Making
Arxiv
0+阅读 · 5月12日
Nearly-Optimal Algorithm for Adversarial Kernelized Bandits
Arxiv
0+阅读 · 5月11日
Online Learning of Whittle Indices for Restless Bandits with Non-Stationary Transition Kernels
Arxiv
0+阅读 · 4月21日
On the Peril of (Even a Little) Nonstationarity in Satisficing Regret Minimization
Arxiv
0+阅读 · 3月19日
Conformal Bandits: Bringing statistical validity and reward efficiency to the small-gap regime
Arxiv
0+阅读 · 2025年12月10日
Adaptive Algorithms for Infinitely Many-Armed Bandits: A Unified Framework
Adaptive Algorithms for Infinitely Many-Armed Bandits: A Unified Framework
Arxiv
0+阅读 · 2025年10月31日
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