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Multi-Armed Bandits

1044 directly classified papers

Papers per year

Papers

UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits IJCAI 2018
Multinomial Logit Bandit with Linear Utility Functions IJCAI 2018
Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback IJCAI 2018
Advancements in Dueling Bandits IJCAI 2018
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation IJCAI 2018
Model-Independent Online Learning for Influence Maximization ICML 2017
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits AISTATS 2017
Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces IJCAI 2017
XOR-Sampling for Network Design with Correlated Stochastic Events IJCAI 2017
Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons ICML 2017
Identifying Best Interventions through Online Importance Sampling ICML 2017
Safety-Aware Algorithms for Adversarial Contextual Bandit ICML 2017
Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017
Context Attentive Bandits: Contextual Bandit with Restricted Context IJCAI 2017
Fast Video Classification via Adaptive Cascading of Deep Models CVPR 2017
Efficient Nonmyopic Active Search ICML 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017
Real-Time Bidding with Side Information NIPS 2017
Scalable Generalized Linear Bandits: Online Computation and Hashing NIPS 2017
Affine-Invariant Online Optimization and the Low-rank Experts Problem NIPS 2017
Ensemble Sampling NIPS 2017
Action Centered Contextual Bandits NIPS 2017
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NIPS 2017