bandit feedback

Risk-Averse Stochastic Convex Bandit AISTATS 2019 Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback ICML 2019 Factored Bandits NeurIPS 2018 Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback ACL 2018 Policy Evaluation and Optimization with Continuous Treatments AISTATS 2018 Regret Bounds for Online Portfolio Selection with a Cardinality Constraint NeurIPS 2018 Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning ACL 2018 Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation EMNLP 2017 Identifying Outlier Arms in Multi-Armed Bandit NeurIPS 2017 Learning with Bandit Feedback in Potential Games NeurIPS 2017 New bounds on the price of bandit feedback for mistake-bounded online multiclass learning ALT 2017 Learning in Games: Robustness of Fast Convergence NeurIPS 2016 Online learning in repeated auctions COLT 2016 Stochastic Structured Prediction under Bandit Feedback NeurIPS 2016 Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient ICML 2016 Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015 On the Complexity of Bandit Linear Optimization COLT 2015 The Self-Normalized Estimator for Counterfactual Learning NeurIPS 2015 Boosting with Online Binary Learners for the Multiclass Bandit Problem ICML 2014 Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014 Online Learning with Composite Loss Functions COLT 2014 On Multilabel Classification and Ranking with Bandit Feedback JMLR 2014 Better Rates for Any Adversarial Deterministic MDP ICML 2013 Online Learning with Switching Costs and Other Adaptive Adversaries NeurIPS 2013 On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization COLT 2013