Multi-Armed Bandits

On the Existence of a Complexity in Fixed Budget Bandit Identification COLT 2023 On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits ICML 2023 On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure AAAI 2023 Optimal Algorithms for Latent Bandits with Cluster Structure AISTATS 2023 Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles AISTATS 2023 Optimal cross-learning for contextual bandits with unknown context distributions NeurIPS 2023 Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract) AAAI 2023 Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits ICML 2023 Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023 Optimistic Whittle Index Policy: Online Learning for Restless Bandits AAAI 2023 Overcoming Prior Misspecification in Online Learning to Rank AISTATS 2023 Pareto Regret Analyses in Multi-objective Multi-armed Bandit ICML 2023 Piecewise Stationary Bandits under Risk Criteria AISTATS 2023 Posterior Tracking Algorithm for Classification Bandits AISTATS 2023 Practical Contextual Bandits with Feedback Graphs NeurIPS 2023 Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits ICML 2023 Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization NeurIPS 2023 qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023 Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets AAAI 2023 Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback AISTATS 2023 Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds JMLR 2023 Replicable Bandits ICLR 2023 Revisiting Simple Regret: Fast Rates for Returning a Good Arm ICML 2023 Revisiting Weighted Strategy for Non-stationary Parametric Bandits AISTATS 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023