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Multi-Armed Bandits

1044 directly classified papers

Papers per year

Papers

Boosted Off-Policy Learning AISTATS 2023
Multi-Fidelity Multi-Armed Bandits Revisited NIPS 2023
Fairness and Welfare Quantification for Regret in Multi-Armed Bandits AAAI 2023
Nash Regret Guarantees for Linear Bandits NIPS 2023
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles AISTATS 2023
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML 2023
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits AAAI 2023
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets AAAI 2023
Communication-Constrained Bandits under Additive Gaussian Noise ICML 2023
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits AISTATS 2023
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback AISTATS 2023
Stochastic Gradient Succeeds for Bandits ICML 2023
Federated Online and Bandit Convex Optimization ICML 2023
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles AISTATS 2023
Delayed Feedback in Kernel Bandits ICML 2023
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023
An Information-Theoretic Analysis of Nonstationary Bandit Learning ICML 2023
Meta-Learning for Simple Regret Minimization AAAI 2023
Optimistic Whittle Index Policy: Online Learning for Restless Bandits AAAI 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms ICML 2023
Piecewise Stationary Bandits under Risk Criteria AISTATS 2023
Bandits with Knapsacks: Advice on Time-Varying Demands ICML 2023
Optimal Algorithms for Latent Bandits with Cluster Structure AISTATS 2023
Affective and Dynamic Beam Search for Story Generation EMNLP 2023
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design EMNLP 2023