Multi-Armed Bandits

Mixed-Effect Thompson Sampling AISTATS 2023 Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design EMNLP 2023 Multi-Action Dialog Policy Learning from Logged User Feedback AAAI 2023 Multi-Agent Best Arm Identification with Private Communications ICML 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 Representation Learning for Pure Exploration in Bilinear Bandits NeurIPS 2023 Nash Regret Guarantees for Linear Bandits NeurIPS 2023 Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback ICML 2023 Networked Restless Bandits with Positive Externalities AAAI 2023 Noise-Adaptive Thompson Sampling for Linear Contextual Bandits NeurIPS 2023 Nonstochastic Contextual Combinatorial Bandits AISTATS 2023 One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits AISTATS 2023 One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems ACL 2023 Online Ad Procurement in Non-stationary Autobidding Worlds NeurIPS 2023 Online Corrupted User Detection and Regret Minimization NeurIPS 2023 Online Low Rank Matrix Completion ICLR 2023 Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost NeurIPS 2023 Online Restless Bandits with Unobserved States ICML 2023 On Private and Robust Bandits NeurIPS 2023 On the Complexity of Representation Learning in Contextual Linear Bandits AISTATS 2023 On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm ICML 2023