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Tractable hierarchies of convex relaxations for polynomial optimization on the nonnegative orthant


Sep 13, 2022
Ngoc Hoang Anh Mai, Victor Magron, Jean-Bernard Lasserre, Kim-Chuan Toh

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* 39 pages, 15 tables 

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Escaping Spurious Local Minima of Low-Rank Matrix Factorization Through Convex Lifting


Apr 29, 2022
Ching-pei Lee, Ling Liang, Tianyun Tang, Kim-Chuan Toh

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STRIDE along Spectrahedral Vertices for Solving Large-Scale Rank-One Semidefinite Relaxations


May 28, 2021
Heng Yang, Ling Liang, Kim-Chuan Toh, Luca Carlone

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* 9 pages main context, 2 figures 

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Learning Graph Laplacian with MCP


Oct 22, 2020
Yangjing Zhang, Kim-Chuan Toh, Defeng Sun

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* 26 pages, 15 figures 

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Estimation of sparse Gaussian graphical models with hidden clustering structure


Apr 17, 2020
Meixia Lin, Defeng Sun, Kim-Chuan Toh, Chengjing Wang

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Efficient algorithms for multivariate shape-constrained convex regression problems


Feb 26, 2020
Meixia Lin, Defeng Sun, Kim-Chuan Toh

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A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems


Apr 02, 2019
Peipei Tang, Chengjing Wang, Defeng Sun, Kim-Chuan Toh

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* 34 pages, 8 tables 

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On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models


Feb 01, 2019
Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh

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A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters


Sep 12, 2018
Lei Yang, Jia Li, Defeng Sun, Kim-Chuan Toh

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Efficient sparse Hessian based algorithms for the clustered lasso problem


Aug 23, 2018
Meixia Lin, Yong-Jin Liu, Defeng Sun, Kim-Chuan Toh

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