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https://neurips.cc/virtual/2020/public/poster_607bc9ebe4abfcd65181bfbef6252830.html NeurIPS 2020 : Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards multi armed bandits https://deepai.org/publication/diversity-driven-selection-of-exploration-strategies-in-multi-armed-bandits Diversity-Driven Selection of Exploration Strategies in Multi-Armed Bandits | DeepAI Aug 23, 2018 - 08/23/18 - We consider a scenario where an agent has multiple available strategies to explore an unknown environment. For each new interactio... multi armed banditsdiversitydrivenselectionexploration https://deepai.org/publication/risk-averse-non-stationary-multi-armed-bandits Risk averse non-stationary multi-armed bandits | DeepAI Sep 28, 2021 - 09/28/21 - This paper tackles the risk averse multi-armed bandits problem when incurred losses are non-stationary. The conditional value-at-r... multi armed banditsrisk aversenon stationarydeepai https://www.kth.se/en/eecs/kalender/efficient-learning-in-graphs-and-in-combinatorial-multi-armed-bandits-1.1368559?date=2024-12-06&orgdate=2024-05-16&length=1&orglength=230 Efficient Learning in Graphs and in Combinatorial Multi-Armed Bandits | KTH multi armed banditsefficientlearninggraphscombinatorial https://www.amazon.science/tag/multi-armed-bandits?p=2 Multi-armed bandits - Amazon Science multi armed banditsamazonscience https://openreview.net/forum?id=0BfQT652sC Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk |... We consider the stochastic multi-armed bandit problem and fully characterize the interplays among three desired properties for policy design: worst-case... multi armed bandits https://www.adyen.com/knowledge-hub/rescuing-failed-subscription-payments-using-contextual-multi-armed-bandits Rescuing failed subscription payments using contextual multi-armed bandits - Adyen multi armed banditssubscription paymentsrescuingfailedusing https://openreview.net/forum?id=tbeLou0v9M Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits | OpenReview Regret minimization in streaming multi-armed bandits (MABs) has been studied extensively, and recent work has shown that algorithms with $o(K)$ memory have to... multi armed banditssingle passtightregretbounds https://deepai.org/publication/quantum-exploration-algorithms-for-multi-armed-bandits Quantum exploration algorithms for multi-armed bandits | DeepAI Jul 14, 2020 - 07/14/20 - Identifying the best arm of a multi-armed bandit is a central problem in bandit optimization. We study a quantum computational ver... multi armed banditsquantumexplorationalgorithmsdeepai https://amplitude.com/blog/multi-armed-bandit-vs-ab-testing Multi-Armed Bandits vs. A/B Testing: Choosing the Right Approach Explore the nuances of multi-armed bandits vs. traditional experiments and choose the best testing strategy for your digital products. multi armed banditsthe rightvs https://aclanthology.org/E17-1039/ Efficient Benchmarking of NLP APIs using Multi-armed Bandits - ACL Anthology Gholamreza Haffari, Tuan Dung Tran, Mark Carman. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics:... multi armed banditsefficientbenchmarkingnlpapis https://openreview.net/forum?id=3YTjTQhX8B Multi-Armed Bandits with Interference: Bridging Causal Inference and Adversarial Bandits |... Experimentation with interference poses a significant challenge in contemporary online platforms. Prior research on experimentation with interference has... multi armed banditscausal inferenceinterferencebridgingadversarial https://www.adyen.com/en_GB/knowledge-hub/contextual-multi-armed-bandits Rescuing failed subscription payments using contextual multi-armed bandits - Adyen multi armed banditssubscription paymentsrescuingfailedusing https://research.google/pubs/scalable-decision-focused-learning-in-restless-multi-armed-bandits-with-application-to-maternal-and-child-care/ Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and... https://arxiv.org/abs/1206.3582 [1206.3582] Decentralized Learning for Multi-player Multi-armed Bandits Abstract page for arXiv paper 1206.3582: Decentralized Learning for Multi-player Multi-armed Bandits learning formulti player12063582decentralized