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The EM Algorithm gives Sample-Optimality for Learning Mixtures of Well-Separated Gaussians.

J. Kwon, и C. Caramanis. COLT, том 125 из Proceedings of Machine Learning Research, стр. 2425-2487. PMLR, (2020)

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Hyogmyon Kwon

Jagun Kwon

Youngshin Kwon

Kwangsoo Kwon

Sanghee Kwon

Другие публикации лиц с тем же именем

On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression.J. Kwon, N. Ho, и C. Caramanis. AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1405-1413. PMLR, (2021)Tractable Optimality in Episodic Latent MABs.J. Kwon, Y. Efroni, C. Caramanis, и S. Mannor. NeurIPS, (2022)On The Complexity of First-Order Methods in Stochastic Bilevel Optimization.J. Kwon, D. Kwon, и H. Lyu. ICML, OpenReview.net, (2024)A Fully First-Order Method for Stochastic Bilevel Optimization.J. Kwon, D. Kwon, S. Wright, и R. Nowak. ICML, том 202 из Proceedings of Machine Learning Research, стр. 18083-18113. PMLR, (2023)Prospective Side Information for Latent MDPs.J. Kwon, Y. Efroni, S. Mannor, и C. Caramanis. ICML, OpenReview.net, (2024)On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing.J. Zhuo, J. Kwon, N. Ho, и C. Caramanis. J. Mach. Learn. Res., (2024)Reinforcement Learning in Reward-Mixing MDPs.J. Kwon, Y. Efroni, C. Caramanis, и S. Mannor. NeurIPS, стр. 2253-2264. (2021)On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation.J. Kwon, D. Kwon, S. Wright, и R. Nowak. ICLR, OpenReview.net, (2024)Prospective Side Information for Latent MDPs.J. Kwon, Y. Efroni, S. Mannor, и C. Caramanis. CoRR, (2023)RL for Latent MDPs: Regret Guarantees and a Lower Bound.J. Kwon, Y. Efroni, C. Caramanis, и S. Mannor. NeurIPS, стр. 24523-24534. (2021)

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