sequential decision

Revealing Graph Bandits for Maximizing Local Influence AISTATS 2016 A Theory of Decision Making Under Dynamic Context NeurIPS 2015 Global Multi-armed Bandits with Hölder Continuity AISTATS 2015 An LP for Sequential Learning Under Budgets AISTATS 2014 Boosting Algorithms for Detector Cascade Learning JMLR 2014 Bounded Regret for Finite-Armed Structured Bandits NeurIPS 2014 Discovering, Learning and Exploiting Relevance NeurIPS 2014 Efficient Partial Monitoring with Prior Information NeurIPS 2014 Fairness in Multi-Agent Sequential Decision-Making NeurIPS 2014 Finding a most biased coin with fewest flips COLT 2014 An Optimal Policy for Target Localization with Application to Electron Microscopy ICML 2013 On Bayesian Upper Confidence Bounds for Bandit Problems AISTATS 2012 On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NeurIPS 2012 Online Submodular Minimization JMLR 2012 Optimistic Bayesian Sampling in Contextual-Bandit Problems JMLR 2012 Searching for objects driven by context NeurIPS 2012 Internal Regret with Partial Monitoring: Calibration-Based Optimal Algorithms JMLR 2011 Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments COLT 2011 Active Sequential Learning with Tactile Feedback AISTATS 2010 Distributionally Robust Markov Decision Processes NeurIPS 2010 On-Line Sequential Bin Packing JMLR 2010 Regret Bounds for Gaussian Process Bandit Problems AISTATS 2010 Adapting to a Market Shock: Optimal Sequential Market-Making NeurIPS 2008 Mortal Multi-Armed Bandits NeurIPS 2008 Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007