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FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms.

, , , и . ACL (1), стр. 2920-2930. Association for Computational Linguistics, (2019)

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Dávid Felh s

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David S Gerber

Leslie Melters

 

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Multi-rate Threshold FlipThem., , и . ESORICS (2), том 10493 из Lecture Notes in Computer Science, стр. 174-190. Springer, (2017)Sequentially updated Probability Collectives., и . CDC, стр. 5774-5779. IEEE, (2009)A Tutorial on Bridge Sampling, , , , , , , , , и . (2017)cite arxiv:1703.05984.Robust Functional Regression for Outlier Detection., , , и . AALTD@PKDD/ECML, том 11986 из Lecture Notes in Computer Science, стр. 3-13. Springer, (2019)Why Does Higher Working Memory Capacity Help You Learn?, , , и . CogSci, cognitivesciencesociety.org, (2017)Selecting multiple web adverts: A contextual multi-armed bandit with state uncertainty., и . JORS, 71 (1): 100-116 (2020)On Thompson Sampling for Smoother-than-Lipschitz Bandits., и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 2612-2622. PMLR, (2020)A stochastic game framework for patrolling a border., , , , и . Eur. J. Oper. Res., 311 (3): 1146-1158 (декабря 2023)BOSS: Bayesian Optimization over String Spaces., , , , и . NeurIPS, (2020)Bandit Learning in Concave N-Person Games., , и . NeurIPS, стр. 5666-5676. (2018)