conftrace_

contextual bandit

381 papers

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Also known as

CB

Co-occurring keywords

regret bound (1926) online learning (1777) multi-armed bandit (1098) thompson sampling (237) upper confidence bound (197) online algorithm (445) off-policy evaluation (144) linear bandit (124) reinforcement learning (4352) recommendation system (294)

Papers

An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives COLT 2016
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits NIPS 2016
Fairness in Learning: Classic and Contextual Bandits NIPS 2016
Efficient Algorithms for Adversarial Contextual Learning ICML 2016
BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits ICML 2016
Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design ICML 2016
Contextual Combinatorial Cascading Bandits ICML 2016
Contextual semibandits via supervised learning oracles NIPS 2016
Contextual Dueling Bandits COLT 2015
Learning to Search Better than Your Teacher ICML 2015
Toward Minimax Off-policy Value Estimation AISTATS 2015
Discovering, Learning and Exploiting Relevance NIPS 2014
Learning Multiple Tasks in Parallel with a Shared Annotator NIPS 2014
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits ICML 2014
Online Clustering of Bandits ICML 2014
Resourceful Contextual Bandits COLT 2014
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques ICML 2014
Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions ACML 2014
Contextual Bandits with Similarity Information JMLR 2014
A Gang of Bandits NIPS 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs ICML 2013
Optimistic Bayesian Sampling in Contextual-Bandit Problems JMLR 2012
Contextual Bandit Learning with Predictable Rewards AISTATS 2012
Contextual Bandits with Linear Payoff Functions AISTATS 2011
Discussion of “Contextual Bandit Algorithms with Supervised Learning Guarantees” AISTATS 2011