multi-armed bandit

Blocking Bandits NeurIPS 2019 Bootstrapping Upper Confidence Bound NeurIPS 2019 Bridging the gap between regret minimization and best arm identification, with application to A/B tests AISTATS 2019 Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit IJCAI 2019 Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model IJCAI 2019 Categorized Bandits NeurIPS 2019 Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback NeurIPS 2019 Cleaning up the neighborhood: A full classification for adversarial partial monitoring ALT 2019 Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NeurIPS 2019 Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model ICML 2019 Crawling the Community Structure of Multiplex Networks AAAI 2019 DBA: Dynamic Multi-Armed Bandit Algorithm AAAI 2019 Decentralized Cooperative Stochastic Bandits NeurIPS 2019 Decentralized Exploration in Multi-Armed Bandits ICML 2019 Delay and Cooperation in Nonstochastic Bandits JMLR 2019 Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards NeurIPS 2019 Dueling Bandits with Qualitative Feedback AAAI 2019 Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue AAAI 2019 Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem ICML 2019 Efficient Pure Exploration in Adaptive Round model NeurIPS 2019 Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms AAAI 2019 Epsilon-Best-Arm Identification in Pay-Per-Reward Multi-Armed Bandits NeurIPS 2019 Equipping Experts/Bandits with Long-term Memory NeurIPS 2019 FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms ACL 2019 Finding the bandit in a graph: Sequential search-and-stop AISTATS 2019