multi-armed bandit

Gain estimation of linear dynamical systems using Thompson Sampling AISTATS 2019 Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits ICML 2019 General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits AAAI 2019 Improved Algorithm on Online Clustering of Bandits IJCAI 2019 Improved Path-length Regret Bounds for Bandits COLT 2019 Improved Regret Bounds for Bandit Combinatorial Optimization NeurIPS 2019 Incorporating Behavioral Constraints in Online AI Systems AAAI 2019 Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits NeurIPS 2019 Leveraging Observations in Bandits: Between Risks and Benefits AAAI 2019 Linear Stochastic Bandits Under Safety Constraints NeurIPS 2019 Machine Teaching of Active Sequential Learners NeurIPS 2019 Making the Cut: A Bandit-based Approach to Tiered Interviewing NeurIPS 2019 MaxGap Bandit: Adaptive Algorithms for Approximate Ranking NeurIPS 2019 Multi-armed Bandit Problems with Strategic Arms COLT 2019 Multi-scale Online Learning: Theory and Applications to Online Auctions and Pricing JMLR 2019 Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits COLT 2019 Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit AISTATS 2019 Non-Asymptotic Pure Exploration by Solving Games NeurIPS 2019 Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric NeurIPS 2019 Nonstochastic Multiarmed Bandits with Unrestricted Delays NeurIPS 2019 Online EXP3 Learning in Adversarial Bandits with Delayed Feedback NeurIPS 2019 Online Learning via the Differential Privacy Lens NeurIPS 2019 Online learning with feedback graphs and switching costs AISTATS 2019 Online Pandora’s Boxes and Bandits AAAI 2019 On the Design of Estimators for Bandit Off-Policy Evaluation ICML 2019