bandit algorithm

Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NeurIPS 2019 FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms ACL 2019 Improved Regret Bounds for Bandit Combinatorial Optimization NeurIPS 2019 Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing NeurIPS 2019 MaxGap Bandit: Adaptive Algorithms for Approximate Ranking NeurIPS 2019 Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach AISTATS 2019 No-Regret Learning in Unknown Games with Correlated Payoffs NeurIPS 2019 Online Influence Maximization with Local Observations ALT 2019 On the Performance of Thompson Sampling on Logistic Bandits COLT 2019 PAC Battling Bandits in the Plackett-Luce Model ALT 2019 Thresholding Bandit with Optimal Aggregate Regret NeurIPS 2019 A Better Resource Allocation Algorithm with Semi-Bandit Feedback ALT 2018 Adaptation to Easy Data in Prediction with Limited Advice NeurIPS 2018 Advancements in Dueling Bandits IJCAI 2018 Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018 Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization JMLR 2018 Mitigating Bias in Adaptive Data Gathering via Differential Privacy ICML 2018 Practical Contextual Bandits with Regression Oracles ICML 2018 Bernoulli Rank-1 Bandits for Click Feedback IJCAI 2017 Corralling a Band of Bandit Algorithms COLT 2017 Efficient Online Bandit Multiclass Learning with Õ(√T) Regret ICML 2017 Identifying Outlier Arms in Multi-Armed Bandit NeurIPS 2017 Model-Independent Online Learning for Influence Maximization ICML 2017 Copeland Dueling Bandits NeurIPS 2015 Extreme bandits NeurIPS 2014