conftrace_

multi-armed bandit

1098 papers

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Also known as

MAB

Co-occurring keywords

regret bound (1926) online learning (1777) stochastic optimization (1060) thompson sampling (237) upper confidence bound (197) regret minimization (315) online algorithm (445) sample complexity (1169) contextual bandit (381) best arm identification (85)

Papers

On Private and Robust Bandits NIPS 2023
Multi-Fidelity Multi-Armed Bandits Revisited NIPS 2023
Meta-Learning Adversarial Bandit Algorithms NIPS 2023
Delayed Bandits: When Do Intermediate Observations Help? ICML 2023
Bandit Learnability can be Undecidable COLT 2023
An $\varepsilon$-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond NIPS 2023
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data NIPS 2023
Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk NIPS 2023
Module-wise Adaptive Distillation for Multimodality Foundation Models NIPS 2023
Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds JMLR 2023
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023
Short-lived High-volume Bandits ICML 2023
Thompson Exploration with Best Challenger Rule in Best Arm Identification ACML 2023
Reinforcement Learning Can Be More Efficient with Multiple Rewards ICML 2023
Revisiting Simple Regret: Fast Rates for Returning a Good Arm ICML 2023
Competing Bandits in Time Varying Matching Markets L4DC 2023
Pareto Regret Analyses in Multi-objective Multi-armed Bandit ICML 2023
Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits ICML 2023
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering ACL 2023
Finite-Time Logarithmic Bayes Regret Upper Bounds NIPS 2023
Contextual Conservative Interleaving Bandits ICML 2023
Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023
An Information-Theoretic Analysis of Nonstationary Bandit Learning ICML 2023
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality ICML 2023
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits ICML 2023