114 citations · 256 across the 16 of their papers we have counts for
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cs.LG2023
Learning Large-Scale MTP Gaussian Graphical Models via Bridge-Block Decomposition
Xiwen Wang, Jiaxi Ying, Daniel P. Palomar
This paper studies the problem of learning the large-scale Gaussian graphical models that are multivariate totally positive of order two (). By introducing the concep…
cs.LG2023
Network Topology Inference with Sparsity and Laplacian Constraints
Jiaxi Ying, Xi Han, Rui Zhou +2
We tackle the network topology inference problem by utilizing Laplacian constrained Gaussian graphical models, which recast the task as estimating a precision matrix in the form of…
cs.IT2023★ 1 cited
A Fast and Provable Algorithm for Sparse Phase Retrieval
Jian-Feng Cai, Yu Long, Ruixue Wen +1
We study the sparse phase retrieval problem, which seeks to recover a sparse signal from a limited set of magnitude-only measurements. In contrast to prevalent sparse phase retriev…