Co-occurring keywords · papers mentioning both
Papers
Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem
COLT 2015
Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring
NeurIPS 2015
Revenue Optimization against Strategic Buyers
NeurIPS 2015
Risk and Regret of Hierarchical Bayesian Learners
ICML 2015
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret
ICML 2015
Second-Order Non-Stationary Online Learning for Regression
JMLR 2015
Stochastic Online Greedy Learning with Semi-bandit Feedbacks
NeurIPS 2015
Surrogate regret bounds for generalized classification performance metrics
ACML 2015
The Hedge Algorithm on a Continuum
ICML 2015
The Pareto Regret Frontier for Bandits
NeurIPS 2015
Thompson Sampling for Learning Parameterized Markov Decision Processes
COLT 2015
Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits
AISTATS 2015
Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm
ICML 2014
A Drifting-Games Analysis for Online Learning and Applications to Boosting
NeurIPS 2014
A second-order bound with excess losses
COLT 2014
Bandit Convex Optimization: Towards Tight Bounds
NeurIPS 2014
Bayesian Multi-Scale Optimistic Optimization
AISTATS 2014
Bounded Regret for Finite-Armed Structured Bandits
NeurIPS 2014
Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications
ICML 2014
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning
NeurIPS 2014
Discovering, Learning and Exploiting Relevance
NeurIPS 2014
Efficient learning by implicit exploration in bandit problems with side observations
NeurIPS 2014
Efficient Partial Monitoring with Prior Information
NeurIPS 2014
Extreme bandits
NeurIPS 2014
Follow the Leader If You Can, Hedge If You Must
JMLR 2014