conftrace_

regret bound

1926 papers

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RB

Co-occurring keywords

online learning (1777) multi-armed bandit (1098) contextual bandit (381) stochastic optimization (1060) reinforcement learning (4352) online algorithm (445) upper confidence bound (197) markov decision process (790) thompson sampling (237) online convex optimization (165)

Papers

Bandit Convex Optimization: \sqrtT Regret in One Dimension COLT 2015
Label optimal regret bounds for online local learning COLT 2015
Online Learning with Feedback Graphs: Beyond Bandits COLT 2015
Open Problem: Online Sabotaged Shortest Path COLT 2015
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret ICML 2015
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning ICML 2015
Learning from Data with Heterogeneous Noise using SGD AISTATS 2015
Cheap Bandits ICML 2015
Qualitative Multi-Armed Bandits: A Quantile-Based Approach ICML 2015
Risk and Regret of Hierarchical Bayesian Learners ICML 2015
Adaptive Strategy for Stratified Monte Carlo Sampling JMLR 2015
Efficient Learning in Large-Scale Combinatorial Semi-Bandits ICML 2015
An Online Learning Algorithm for Bilinear Models ICML 2015
The Hedge Algorithm on a Continuum ICML 2015
Adaptive Stochastic Alternating Direction Method of Multipliers ICML 2015
Generalized Mixability via Entropic Duality COLT 2015
Budgeted Bandit Problems with Continuous Random Costs ACML 2015
Surrogate regret bounds for generalized classification performance metrics ACML 2015
Combinatorial Cascading Bandits NIPS 2015
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem ICML 2014
Latent Bandits. ICML 2014
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits ICML 2014
Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications ICML 2014
Reducing Dueling Bandits to Cardinal Bandits ICML 2014
(Near) Dimension Independent Risk Bounds for Differentially Private Learning ICML 2014