Multi-Armed Bandits

Wasserstein Selective Transfer Learning for Cross-domain Text Mining EMNLP 2021 A Bandit Learning Algorithm and Applications to Auction Design NeurIPS 2020 Achieving Fairness in the Stochastic Multi-Armed Bandit Problem AAAI 2020 Adapting to Misspecification in Contextual Bandits NeurIPS 2020 Adaptive Estimator Selection for Off-Policy Evaluation ICML 2020 Adversarial Attacks on Linear Contextual Bandits NeurIPS 2020 Adversarial Blocking Bandits NeurIPS 2020 A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling NeurIPS 2020 Agbots 2.0: Weeding Denser Fields with Fewer Robots RSS 2020 A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change ICML 2020 Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring NeurIPS 2020 A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits AAAI 2020 An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits NeurIPS 2020 A PTAS for the Bayesian Thresholding Bandit Problem AISTATS 2020 Bandit Linear Control NeurIPS 2020 Bandit Samplers for Training Graph Neural Networks NeurIPS 2020 Batched Coarse Ranking in Multi-Armed Bandits NeurIPS 2020 Bayesian Decision Process for Budget-efficient Crowdsourced Clustering IJCAI 2020 Best Arm Identification in Spectral Bandits IJCAI 2020 Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs NeurIPS 2020 Bounded Rationality in Las Vegas: Probabilistic Finite Automata Play Multi-Armed Bandits UAI 2020 Budgeted Online Influence Maximization ICML 2020 Causal Bayesian Optimization AISTATS 2020 Chaos, Extremism and Optimism: Volume Analysis of Learning in Games NeurIPS 2020 Choice Bandits NeurIPS 2020