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On Structured Filtering-Clustering: Global Error Bound and Optimal
  First-Order Algorithms

On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms

16 April 2019
Nhat Ho
Tianyi Lin
Michael I. Jordan
ArXivPDFHTML

Papers citing "On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms"

4 / 4 papers shown
Title
Heterogeneous Federated Learning on a Graph
Heterogeneous Federated Learning on a Graph
Huiyuan Wang
Xuyang Zhao
Weijie Lin
FedML
54
4
0
19 Sep 2022
Provable Convex Co-clustering of Tensors
Provable Convex Co-clustering of Tensors
Eric C. Chi
Brian R. Gaines
W. Sun
Hua Zhou
Jian Yang
27
44
0
17 Mar 2018
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave
  Saddle Point Problems without Strong Convexity
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity
S. Du
Wei Hu
58
120
0
05 Feb 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,199
0
16 Aug 2016
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