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

Bandit Learning with Delayed Impact of Actions NIPS 2021
Stochastic Multi-Armed Bandits with Control Variates NIPS 2021
Bandit Quickest Changepoint Detection NIPS 2021
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models NIPS 2021
Batched Thompson Sampling NIPS 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret NIPS 2021
Pure Exploration in Kernel and Neural Bandits NIPS 2021
Auditing Black-Box Prediction Models for Data Minimization Compliance NIPS 2021
Combinatorial Pure Exploration with Bottleneck Reward Function NIPS 2021
A/B/n Testing with Control in the Presence of Subpopulations NIPS 2021
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication NIPS 2021
Bandit Phase Retrieval NIPS 2021
A Gang of Adversarial Bandits NIPS 2021
Rebounding Bandits for Modeling Satiation Effects NIPS 2021
Understanding Bandits with Graph Feedback NIPS 2021
Differentially Private Multi-Armed Bandits in the Shuffle Model NIPS 2021
Learning Equilibria in Matching Markets from Bandit Feedback NIPS 2021
A Hybrid Bandit Framework for Diversified Recommendation AAAI 2021
Lenient Regret for Multi-Armed Bandits AAAI 2021
Active Feature Selection for the Mutual Information Criterion AAAI 2021
Federated Multi-Armed Bandits AAAI 2021
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations AAAI 2021
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback AAAI 2021
AI for Social Good: Between My Research and the Real World AAAI 2021
Regret Bounds for Batched Bandits AAAI 2021