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

On Frank-Wolfe and Equilibrium Computation NIPS 2017
Online Convex Optimization with Stochastic Constraints NIPS 2017
Minimal Exploration in Structured Stochastic Bandits NIPS 2017
Bernoulli Rank-1 Bandits for Click Feedback IJCAI 2017
Nonparametric Online Regression while Learning the Metric NIPS 2017
Online Learning with Transductive Regret NIPS 2017
Identify the Nash Equilibrium in Static Games with Random Payoffs ICML 2017
Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications NIPS 2017
Online Learning for Multivariate Hawkes Processes NIPS 2017
Rotting Bandits NIPS 2017
Bandits Dueling on Partially Ordered Sets NIPS 2017
Multi-Armed Bandits with Metric Movement Costs NIPS 2017
Conservative Contextual Linear Bandits NIPS 2017
Boltzmann Exploration Done Right NIPS 2017
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NIPS 2017
Online Reinforcement Learning in Stochastic Games NIPS 2017
Meritocratic Fairness for Cross-Population Selection ICML 2017
Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU ICML 2017
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds NIPS 2017
Multi-View Decision Processes: The Helper-AI Problem NIPS 2017
Regret for Expected Improvement over the Best-Observed Value and Stopping Condition ACML 2017
Efficient tracking of a growing number of experts ALT 2017
ZigZag: A New Approach to Adaptive Online Learning COLT 2017
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits AISTATS 2017
Contextual Bandits with Latent Confounders: An NMF Approach AISTATS 2017