multi-armed bandit

Incentivized Communication for Federated Bandits NeurIPS 2023 Incentivizing Exploration with Linear Contexts and Combinatorial Actions ICML 2023 In-Context Impersonation Reveals Large Language Models' Strengths and Biases NeurIPS 2023 Information-Directed Selection for Top-Two Algorithms COLT 2023 Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection AAAI 2023 Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards NeurIPS 2023 Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning ICML 2023 Last Switch Dependent Bandits with Monotone Payoff Functions ICML 2023 Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection ICLR 2023 Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023 Learning to Rank under Multinomial Logit Choice JMLR 2023 Leveraging Demonstrations to Improve Online Learning: Quality Matters ICML 2023 Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits ACML 2023 Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits NeurIPS 2023 Meta-Learning Adversarial Bandit Algorithms NeurIPS 2023 Meta-Learning for Simple Regret Minimization AAAI 2023 Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks ICML 2023 Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits IJCAI 2023 Module-wise Adaptive Distillation for Multimodality Foundation Models NeurIPS 2023 Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference AISTATS 2023 Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking ACL 2023 Multi-Fidelity Multi-Armed Bandits Revisited NeurIPS 2023 Multiplier Bootstrap-based Exploration ICML 2023 Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering ACL 2023 Multi-Task Off-Policy Learning from Bandit Feedback ICML 2023