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Multi-Armed Bandits

1,057 papers

Papers per year

5
27
87
38
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'25

Papers

Contextual Bandits with Stage-wise Constraints JMLR 2025
Improved Regret for Bandit Convex Optimization with Delayed Feedback NIPS 2024
Reciprocal Learning NIPS 2024
Online Learning of Delayed Choices NIPS 2024
Preference-based Pure Exploration NIPS 2024
No-Regret Bandit Exploration based on Soft Tree Ensemble Model NIPS 2024
Ensemble sampling for linear bandits: small ensembles suffice NIPS 2024
Linear Causal Bandits: Unknown Graph and Soft Interventions NIPS 2024
Global Rewards in Restless Multi-Armed Bandits NIPS 2024
Contextual Linear Optimization with Bandit Feedback NIPS 2024
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits NIPS 2024
Contextual Multinomial Logit Bandits with General Value Functions NIPS 2024
Randomized Strategic Facility Location with Predictions NIPS 2024
Mutli-Armed Bandits with Network Interference NIPS 2024
Beyond task diversity: provable representation transfer for sequential multitask linear bandits NIPS 2024
Optimal Scalarizations for Sublinear Hypervolume Regret NIPS 2024
Online Learning with Sublinear Best-Action Queries NIPS 2024
On Weak Regret Analysis for Dueling Bandits NIPS 2024
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries NIPS 2024
Tight Rates for Bandit Control Beyond Quadratics NIPS 2024
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NIPS 2024
Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting NIPS 2024
Communication Bounds for the Distributed Experts Problem NIPS 2024
Fast Proxy Experiment Design for Causal Effect Identification NIPS 2024
Piecewise-Stationary Bandits with Knapsacks NIPS 2024