Shenglong Zhou's Projects
This Matlab package solves the sparse and low-rank covariance matrix estimation.
Bilevel optimization library of test problems
This package offers 5 solvers for compressive sensing problems
This Matlab package solves federated learning problems via inexact ADMM
This Matlab package solves federated learning problems via exact penalty method
This Matlab package solves federated learning problems via gradient descent and inexact ADMM
This Matlab package solves the sparsity-constrained optimization problems including (quadratic) compressive sensing.
This Matlab package solves the one-bit compressed sensing.
This Matlab package solves the sparse LCPs.
This Matlab package solves the linear regression and logistic regression in a distributed fashion.
This Matlab solver solves the sparsity-constrained optimization problems including compressive sensing, logistic regression, linear complementarity problems and so on.
This Matlab package solves the weighted l1 minimizations for compressed sensing problems.
This Matlab package solves the sparsity-constrained optimization problems including compressive sensing, logistic regression, linear complementarity problems and so on.
This Matlab package solves the L_0-regularized sparse optimization problems including compressive sensing, logistic regression, linear complementarity problems and so on.
This Matlab package solves 0/1-loss regularized optimization problems including support vector machine and one-bit compressive sensing.
Newton method for sparse logistic regression
This Matlab package solves the support vector machines for the purpose of reducing the sample data so as to significantly fasten the computational speed.
The Matlab package solves the EDM optimization problems including sensor network localization and molecular conformation.
This Matlab package solves the Lq(0<=q<1) norm regularized optimization problems including compressive sensing and support vector machine..
My personal repository
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
This Matlab package solves sample average approximation for chance constrained programming based on the $0/1$ constrained optimization
The Matlab package solves the EDM optimization problems including sensor network localization and molecular conformation.
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