conftrace_

regret bound

1926 papers

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Also known as

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

Towards Minimax Policies for Online Linear Optimization with Bandit Feedback COLT 2012
Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012
Near-Optimal Algorithms for Online Matrix Prediction COLT 2012
Differentially Private Online Learning COLT 2012
Online Optimization with Gradual Variations COLT 2012
Unified Algorithms for Online Learning and Competitive Analysis COLT 2012
On Multilabel Classification and Ranking with Partial Feedback NIPS 2012
Hierarchical Optimistic Region Selection driven by Curiosity NIPS 2012
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NIPS 2012
Mirror Descent Meets Fixed Share (and feels no regret) NIPS 2012
Contextual Bandit Learning with Predictable Rewards AISTATS 2012
Optimal Distributed Online Prediction Using Mini-Batches JMLR 2012
Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints JMLR 2012
Selective Sampling and Active Learning from Single and Multiple Teachers JMLR 2012
Multi-armed Bandit Problems with History AISTATS 2012
Beyond Logarithmic Bounds in Online Learning AISTATS 2012
On Bayesian Upper Confidence Bounds for Bandit Problems AISTATS 2012
Stochastic Bandit Based on Empirical Moments AISTATS 2012
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit AISTATS 2012
Predicting Dynamic Difficulty NIPS 2011
A simple multi-armed bandit algorithm with optimal variation-bounded regret COLT 2011
Adaptive Bandits: Towards the best history-dependent strategy AISTATS 2011
Contextual Bandits with Linear Payoff Functions AISTATS 2011
Better Algorithms for Benign Bandits JMLR 2011
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization JMLR 2011