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

Multinomial Logit Bandit with Linear Utility Functions IJCAI 2018
Adversarial Attacks on Stochastic Bandits NIPS 2018
Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018
Causal Bandits with Propagating Inference ICML 2018
Bandits with Delayed, Aggregated Anonymous Feedback ICML 2018
Multi-armed Bandits with Compensation NIPS 2018
Factored Bandits NIPS 2018
A Bandit Approach to Sequential Experimental Design with False Discovery Control NIPS 2018
Differentially Private Contextual Linear Bandits NIPS 2018
Structural Causal Bandits: Where to Intervene? NIPS 2018
Community Exploration: From Offline Optimization to Online Learning NIPS 2018
An Information-Theoretic Analysis for Thompson Sampling with Many Actions NIPS 2018
Coordinate Descent with Bandit Sampling NIPS 2018
Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018
Normal Bandits of Unknown Means and Variances JMLR 2018
Bandit Learning with Positive Externalities NIPS 2018
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling NIPS 2018
Adaptive Learning with Unknown Information Flows NIPS 2018
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NIPS 2018
Private Sequential Learning COLT 2018
Incentivizing Exploration by Heterogeneous Users COLT 2018
Accurate Inference for Adaptive Linear Models ICML 2018
Feasible Arm Identification ICML 2018
Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks JMLR 2018
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NIPS 2018