conftrace_

multi-armed bandit

1098 papers

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Also known as

MAB

Co-occurring keywords

regret bound (1926) online learning (1777) stochastic optimization (1060) thompson sampling (237) upper confidence bound (197) regret minimization (315) online algorithm (445) sample complexity (1169) contextual bandit (381) best arm identification (85)

Papers

Contextual Conservative Interleaving Bandits ICML 2023
Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023
An Information-Theoretic Analysis of Nonstationary Bandit Learning ICML 2023
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality ICML 2023
Best Arm Identification in Multi-Agent Multi-Armed Bandits ICML 2023
Online Learning with Feedback Graphs: The True Shape of Regret ICML 2023
Thompson Sampling with Less Exploration is Fast and Optimal ICML 2023
Smooth Non-stationary Bandits ICML 2023
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits ICML 2023
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning ICML 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023
Adaptive Algorithms for Relaxed Pareto Set Identification NIPS 2023
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits ICML 2023
Non-Asymptotic Analysis of a UCB-based Top Two Algorithm NIPS 2023
Adaptive Linear Estimating Equations NIPS 2023
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards NIPS 2023
Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits NIPS 2023
Meta-Learning Adversarial Bandit Algorithms NIPS 2023
Adaptive Data Depth via Multi-Armed Bandits JMLR 2023
On Private and Robust Bandits NIPS 2023
Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk NIPS 2023
Leveraging Demonstrations to Improve Online Learning: Quality Matters ICML 2023
On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure AAAI 2023
Multi-Fidelity Multi-Armed Bandits Revisited NIPS 2023