Multi-Armed Bandits

A Sharp Memory-Regret Trade-off for Multi-Pass Streaming Bandits COLT 2022 A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk NeurIPS 2022 A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits NeurIPS 2022 A Simple Unified Framework for High Dimensional Bandit Problems ICML 2022 Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022 Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems NeurIPS 2022 A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits AAAI 2022 Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences ICLR 2022 Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization AAAI 2022 Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees CVPR 2022 Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms NeurIPS 2022 Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments ACML 2022 Best Arm Identification with Safety Constraints AISTATS 2022 Best Heuristic Identification for Constraint Satisfaction IJCAI 2022 Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits NeurIPS 2022 Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback IJCAI 2022 Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits ICML 2022 Causal Contextual Bandits with Targeted Interventions ICLR 2022 Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits ICML 2022 Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds NeurIPS 2022 Complete Policy Regret Bounds for Tallying Bandits COLT 2022 Conformal Off-Policy Prediction in Contextual Bandits NeurIPS 2022 Contextual Bandits with Knapsacks for a Conversion Model NeurIPS 2022 Contextual Bandits with Large Action Spaces: Made Practical ICML 2022 Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces ICML 2022