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Meixia Lin

DNNLasso: Scalable Graph Learning for Matrix-Variate Data

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Mar 05, 2024
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Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm

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Aug 17, 2023
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Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD

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Dec 11, 2021
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Estimation and inference of signals via the stochastic geometry of spectrogram level sets

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May 06, 2021
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Estimation of sparse Gaussian graphical models with hidden clustering structure

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Apr 17, 2020
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Efficient algorithms for multivariate shape-constrained convex regression problems

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Feb 26, 2020
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On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models

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Feb 01, 2019
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Efficient sparse Hessian based algorithms for the clustered lasso problem

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Aug 23, 2018
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