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Multi-Armed Bandits

1,057 papers

Papers per year

5
27
87
38
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Papers

A Bandit Approach to Sequential Experimental Design with False Discovery Control NIPS 2018
Adversarial Attacks on Stochastic Bandits NIPS 2018
Adaptive Learning with Unknown Information Flows NIPS 2018
Differentially Private Contextual Linear Bandits NIPS 2018
Efficient nonmyopic batch active search NIPS 2018
Structural Causal Bandits: Where to Intervene? NIPS 2018
Distributed Multi-Player Bandits - a Game of Thrones Approach NIPS 2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NIPS 2018
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NIPS 2018
Bandit Learning with Positive Externalities NIPS 2018
An Information-Theoretic Analysis for Thompson Sampling with Many Actions NIPS 2018
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NIPS 2018
Variational inference for the multi-armed contextual bandit AISTATS 2018
A fully adaptive algorithm for pure exploration in linear bandits AISTATS 2018
Policy Evaluation and Optimization with Continuous Treatments AISTATS 2018
Combinatorial Semi-Bandits with Knapsacks AISTATS 2018
Nonstochastic Bandits with Composite Anonymous Feedback COLT 2018
Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits ICML 2018
Accurate Inference for Adaptive Linear Models ICML 2018
Weakly Consistent Optimal Pricing Algorithms in Repeated Posted-Price Auctions with Strategic Buyer ICML 2018
Practical Contextual Bandits with Regression Oracles ICML 2018
Firing Bandits: Optimizing Crowdfunding ICML 2018
Feasible Arm Identification ICML 2018
Semiparametric Contextual Bandits ICML 2018
Mitigating Bias in Adaptive Data Gathering via Differential Privacy ICML 2018