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Compression for Multi-Arm Bandits.

, , и . IEEE J. Sel. Areas Inf. Theory, 3 (4): 773-788 (декабря 2022)

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Другие публикации лиц с тем же именем

Quantizing data for distributed learning., , , и . CoRR, (2020)Compression for Multi-Arm Bandits., , и . IEEE J. Sel. Areas Inf. Theory, 3 (4): 773-788 (декабря 2022)On Distributed Quantization for Classification, , , , и . (2019)cite arxiv:1911.00216.Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms., , и . COLT, том 195 из Proceedings of Machine Learning Research, стр. 1791-1821. PMLR, (2023)On the Relation Between the Common Information Dimension and Wyner Common Information., , , и . ISIT, стр. 2311-2316. IEEE, (2024)Multi-Arm Bandits over Action Erasure Channels., , , и . ISIT, стр. 1312-1317. IEEE, (2023)Learning from Distributed Users in Contextual Linear Bandits Without Sharing the Context., , и . NeurIPS, (2022)Solving Multi-Arm Bandit Using a Few Bits of Communication., , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 11215-11236. PMLR, (2022)Random Access Schemes in Wireless Systems with Correlated User Activity., , и . SPAWC, стр. 1-5. IEEE, (2018)Can we break the dependency in distributed detection?, , , и . ISIT, стр. 2720-2725. IEEE, (2022)