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Multi-Armed Bandits

1044 directly classified papers

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Papers

A Bandit Model for Human-Machine Decision Making with Private Information and Opacity AISTATS 2022
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks AISTATS 2022
Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022
On the Value of Prior in Online Learning to Rank AISTATS 2022
Pareto Optimal Model Selection in Linear Bandits AISTATS 2022
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits AISTATS 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits AISTATS 2022
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences ICML 2022
Top K Ranking for Multi-Armed Bandit with Noisy Evaluations AISTATS 2022
Learning Competitive Equilibria in Exchange Economies with Bandit Feedback AISTATS 2022
Efficient Kernelized UCB for Contextual Bandits AISTATS 2022
Random Effect Bandits AISTATS 2022
Metalearning Linear Bandits by Prior Update AISTATS 2022
Encrypted Linear Contextual Bandit AISTATS 2022
Nonstochastic Bandits and Experts with Arm-Dependent Delays AISTATS 2022
Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits ICML 2022
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits AISTATS 2022
Jointly Efficient and Optimal Algorithms for Logistic Bandits AISTATS 2022
Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits AISTATS 2022
Multi-armed Bandit Algorithm against Strategic Replication AISTATS 2022
k-experts - Online Policies and Fundamental Limits AISTATS 2022
Neural Contextual Bandits without Regret AISTATS 2022
Approximate Function Evaluation via Multi-Armed Bandits AISTATS 2022