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Multi-Armed Bandits

1044 directly classified papers

Papers per year

Papers

PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NIPS 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
Feasible Arm Identification ICML 2018
Semiparametric Contextual Bandits ICML 2018
Mitigating Bias in Adaptive Data Gathering via Differential Privacy ICML 2018
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
Variational inference for the multi-armed contextual bandit AISTATS 2018
Combinatorial Semi-Bandits with Knapsacks AISTATS 2018
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models 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
Nonstochastic Bandits with Composite Anonymous Feedback COLT 2018
Policy Evaluation and Optimization with Continuous Treatments AISTATS 2018
Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018
Cost-aware Cascading Bandits IJCAI 2018
A Novel Strategy for Active Task Assignment in Crowd Labeling IJCAI 2018
Active Discriminative Network Representation Learning IJCAI 2018
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations IJCAI 2018
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications IJCAI 2018