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Multi-Armed Bandits

1044 directly classified papers

Papers per year

Papers

Doubly Adversarial Federated Bandits ICML 2023
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework AISTATS 2023
Contextual Conservative Interleaving Bandits ICML 2023
Delayed Feedback in Generalised Linear Bandits Revisited AISTATS 2023
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts ICML 2023
An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge AISTATS 2023
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits ICML 2023
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023
Networked Restless Bandits with Positive Externalities AAAI 2023
Overcoming Prior Misspecification in Online Learning to Rank AISTATS 2023
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration AAAI 2023
Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference AISTATS 2023
Bayesian Optimization with Conformal Prediction Sets AISTATS 2023
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits ICML 2023
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees ICML 2023
Online Restless Bandits with Unobserved States ICML 2023
Thompson Sampling with Less Exploration is Fast and Optimal ICML 2023
Combinatorial Neural Bandits ICML 2023
Smooth Non-stationary Bandits ICML 2023
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning ICML 2023
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits ICML 2023
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning ICML 2023
Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback ICML 2023
Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023
Robust Budget Pacing with a Single Sample ICML 2023