Multi-Armed Bandits

Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NeurIPS 2018 Action Centered Contextual Bandits NeurIPS 2017 Active Learning for Top-K Rank Aggregation from Noisy Comparisons ICML 2017 Affine-Invariant Online Optimization and the Low-rank Experts Problem NeurIPS 2017 A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control NeurIPS 2017 A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing ACL 2017 A KL-LUCB algorithm for Large-Scale Crowdsourcing NeurIPS 2017 Boltzmann Exploration Done Right NeurIPS 2017 Context Attentive Bandits: Contextual Bandit with Restricted Context IJCAI 2017 Contextual Bandits with Latent Confounders: An NMF Approach AISTATS 2017 Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits IJCAI 2017 Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces IJCAI 2017 Counterfactual Data-Fusion for Online Reinforcement Learners ICML 2017 Crowd Learning: Improving Online Decision Making Using Crowdsourced Data IJCAI 2017 Dynamic Revenue Sharing NeurIPS 2017 Efficient Benchmarking of NLP APIs using Multi-armed Bandits EACL 2017 Efficient Nonmyopic Active Search ICML 2017 Ensemble Sampling NeurIPS 2017 Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe NeurIPS 2017 Fast Video Classification via Adaptive Cascading of Deep Models CVPR 2017 Identifying Best Interventions through Online Importance Sampling ICML 2017 Identifying Outlier Arms in Multi-Armed Bandit NeurIPS 2017 Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications NeurIPS 2017 Improving the Expected Improvement Algorithm NeurIPS 2017 Interactive Submodular Bandit NeurIPS 2017