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Multi-Armed Bandits

1,057 papers

Papers per year

5
27
87
38
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Papers

Bandits with Delayed, Aggregated Anonymous Feedback ICML 2018
Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates ICML 2018
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits ICML 2018
Causal Bandits with Propagating Inference ICML 2018
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations IJCAI 2018
A Novel Strategy for Active Task Assignment in Crowd Labeling IJCAI 2018
Active Discriminative Network Representation Learning IJCAI 2018
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications IJCAI 2018
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
Cost-aware Cascading Bandits 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
Normal Bandits of Unknown Means and Variances JMLR 2018
Uncovering Causality from Multivariate Hawkes Integrated Cumulants JMLR 2018
Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks JMLR 2018
Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018
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