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

Budgeted and Non-Budgeted Causal Bandits AISTATS 2021
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure AAAI 2021
Fairness of Exposure in Stochastic Bandits ICML 2021
Approximation Theory Based Methods for RKHS Bandits ICML 2021
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ICML 2021
Federated Multi-armed Bandits with Personalization AISTATS 2021
Dynamic Planning and Learning under Recovering Rewards ICML 2021
Adversarial Dueling Bandits ICML 2021
Best Arm Identification in Graphical Bilinear Bandits ICML 2021
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning ICML 2021
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations AAAI 2021
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions ICML 2021
MOTS: Minimax Optimal Thompson Sampling ICML 2021
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals JMLR 2021
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits ICML 2021
Fully Gap-Dependent Bounds for Multinomial Logit Bandit AISTATS 2021
Optimal Streaming Algorithms for Multi-Armed Bandits ICML 2021
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem JMLR 2021
Lenient Regret for Multi-Armed Bandits AAAI 2021
Best Model Identification: A Rested Bandit Formulation ICML 2021
On Multi-Armed Bandit Designs for Dose-Finding Trials JMLR 2021
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits JMLR 2021
Contextual Blocking Bandits AISTATS 2021
Bandit algorithms: Letting go of logarithmic regret for statistical robustness AISTATS 2021
A Hybrid Bandit Framework for Diversified Recommendation AAAI 2021