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Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning.

G. Li, C. Cai, Y. Chen, Y. Gu, Y. Wei, и Y. Chi. ICML, том 139 из Proceedings of Machine Learning Research, стр. 6296-6306. PMLR, (2021)

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Chi Chu

Hsin Chi

Jian Chi

Mei Chi

Ying Chi

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Nonconvex Matrix Factorization from Rank-One Measurements.Y. Li, C. Ma, Y. Chen, и Y. Chi. CoRR, (2018)SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression.Z. Li, H. Zhao, B. Li, и Y. Chi. NeurIPS, (2022)BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression.H. Zhao, B. Li, Z. Li, P. Richtárik, и Y. Chi. NeurIPS, (2022)Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model.G. Li, Y. Chi, Y. Wei, и Y. Chen. NeurIPS, (2022)Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion.T. Tong, C. Ma, A. Prater-Bennette, E. Tripp, и Y. Chi. AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 2607-2617. PMLR, (2022)Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization.C. Ma, X. Xu, T. Tong, и Y. Chi. CoRR, (2023)Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods.G. Li, Y. Chen, Y. Chi, H. Poor, и Y. Chen. CoRR, (2023)Deep Unfolded Tensor Robust PCA With Self-Supervised Learning.H. Dong, M. Shah, S. Donegan, и Y. Chi. ICASSP, стр. 1-5. IEEE, (2023)Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution.Y. Chi, и M. Costa. CoRR, (2019)Compressive Two-Dimensional Harmonic Retrieval via Atomic Norm Minimization.Y. Chi, и Y. Chen. IEEE Trans. Signal Process., 63 (4): 1030-1042 (2015)

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