conftrace_

multi-armed bandit

1098 papers

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Also known as

MAB

Co-occurring keywords

regret bound (1926) online learning (1777) stochastic optimization (1060) thompson sampling (237) upper confidence bound (197) regret minimization (315) online algorithm (445) sample complexity (1169) contextual bandit (381) best arm identification (85)

Papers

Open Problem: Shifting Experts on Easy Data COLT 2014
A Drifting-Games Analysis for Online Learning and Applications to Boosting NIPS 2014
Online combinatorial optimization with stochastic decision sets and adversarial losses NIPS 2014
Finding a most biased coin with fewest flips COLT 2014
lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits COLT 2014
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Adaptive Monte Carlo via Bandit Allocation ICML 2014
Conditional Swap Regret and Conditional Correlated Equilibrium NIPS 2014
Combinatorial Pure Exploration of Multi-Armed Bandits NIPS 2014
Prediction with Limited Advice and Multiarmed Bandits with Paid Observations ICML 2014
Boosting with Online Binary Learners for the Multiclass Bandit Problem ICML 2014
Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications ICML 2014
The Blinded Bandit: Learning with Adaptive Feedback NIPS 2014
Thompson Sampling for Complex Online Problems ICML 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014
Contextual Bandits with Similarity Information JMLR 2014
Active Contextual Policy Search JMLR 2014
Latent Bandits. ICML 2014
Reducing Dueling Bandits to Cardinal Bandits ICML 2014
Bounded Regret for Finite-Armed Structured Bandits NIPS 2014
Discovering, Learning and Exploiting Relevance NIPS 2014
Online Clustering of Bandits ICML 2014
Extreme bandits NIPS 2014
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers NIPS 2014
Efficient learning by implicit exploration in bandit problems with side observations NIPS 2014