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Multi-Armed Bandits

1044 directly classified papers

Papers per year

Papers

Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024
Stochastic contextual bandits with graph feedback: from independence number to MAS number NIPS 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024
Near-optimal Per-Action Regret Bounds for Sleeping Bandits AISTATS 2024
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice NIPS 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability NIPS 2024
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NIPS 2024
Reinforcement Learning with Lookahead Information NIPS 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024
Fast Rates for Bandit PAC Multiclass Classification NIPS 2024
Gaussian Process Bandits for Top-k Recommendations NIPS 2024
Dissimilarity Bandits AISTATS 2024
No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting NIPS 2024
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NIPS 2024
Can Probabilistic Feedback Drive User Impacts in Online Platforms? AISTATS 2024
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024
Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources AISTATS 2024
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits AISTATS 2024
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits NIPS 2024
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses AISTATS 2024
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NIPS 2024
Online Learning with Sublinear Best-Action Queries NIPS 2024
Autoregressive Bandits AISTATS 2024
Online learning in bandits with predicted context AISTATS 2024