Multi-Armed Bandits

Contextual Information-Directed Sampling ICML 2022 Context Uncertainty in Contextual Bandits with Applications to Recommender Systems AAAI 2022 Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms ICML 2022 Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits COLT 2022 CVaR-Regret Bounds for Multi-armed Bandits ACML 2022 Debiasing Samples from Online Learning Using Bootstrap AISTATS 2022 Deep Hierarchy in Bandits ICML 2022 DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs NeurIPS 2022 Differentially Private Regret Minimization in Episodic Markov Decision Processes AAAI 2022 Distributionally-Aware Kernelized Bandit Problems for Risk Aversion ICML 2022 Diversified Recommendations for Agents with Adaptive Preferences NeurIPS 2022 Dynamic Learning in Large Matching Markets NeurIPS 2022 Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand Model NeurIPS 2022 Effective Dimension in Bandit Problems under Censorship NeurIPS 2022 Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits JMLR 2022 Efficient Kernelized UCB for Contextual Bandits AISTATS 2022 Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent NeurIPS 2022 Encrypted Linear Contextual Bandit AISTATS 2022 ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine NeurIPS 2022 Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits AISTATS 2022 Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits NeurIPS 2022 Feature and Parameter Selection in Stochastic Linear Bandits ICML 2022 Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health AAAI 2022 Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits NeurIPS 2022 Fixed-Budget Best-Arm Identification in Structured Bandits IJCAI 2022