Multi-Armed Bandits

AutoBandit: A Meta Bandit Online Learning System IJCAI 2021 Bandit Learning with Delayed Impact of Actions NeurIPS 2021 Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games AAAI 2021 Bandit Phase Retrieval NeurIPS 2021 Bandits Don’t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits EMNLP 2021 Bandits with Knapsacks beyond the Worst Case NeurIPS 2021 Bandits with many optimal arms NeurIPS 2021 Bandits with partially observable confounded data UAI 2021 Bayesian decision-making under misspecified priors with applications to meta-learning NeurIPS 2021 Best Arm Identification in Graphical Bilinear Bandits ICML 2021 Best Model Identification: A Rested Bandit Formulation ICML 2021 Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization ICML 2021 Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021 Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs NeurIPS 2021 Causal Bandits with Unknown Graph Structure NeurIPS 2021 Collaborative Bayesian Optimization with Fair Regret ICML 2021 Combinatorial Blocking Bandits with Stochastic Delays ICML 2021 Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021 Combinatorial Pure Exploration with Bottleneck Reward Function NeurIPS 2021 Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback AAAI 2021 Comparison Lift: Bandit-based Experimentation System for Online Advertising AAAI 2021 Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features AAAI 2021 Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021 Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract) AAAI 2021 Contextual Recommendations and Low-Regret Cutting-Plane Algorithms NeurIPS 2021