Pinned Repositories
DATA_DRIVEN_MINIMAX
GLOnet
Global optimization based on generative neural networks
machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Neuron_Descent_and_KFAC
Code accompanying paper "Gradient Descent on Neurons and its Link to Approximate Second-order Optimization"
PG-GLOnet
Progressively growing GLOnet
PortfolioOptimization
Material accompanying the MOSEK Portfolio Optimization Cookbook
Proj_Birkhoff
A MATLAB software for the Birkhoff polytope projection problem
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
QSDPNAL
A MATLAB software for convex quadratic semidefinite programming
SuiteLasso
SuiteLasso: a MATLAB suite for regression problems with generalized Lasso regularizers
MatOpt's Repositories
MatOpt/SuiteLasso
SuiteLasso: a MATLAB suite for regression problems with generalized Lasso regularizers
MatOpt/QSDPNAL
A MATLAB software for convex quadratic semidefinite programming
MatOpt/Proj_Birkhoff
A MATLAB software for the Birkhoff polytope projection problem
MatOpt/DATA_DRIVEN_MINIMAX
MatOpt/GLOnet
Global optimization based on generative neural networks
MatOpt/machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
MatOpt/Neuron_Descent_and_KFAC
Code accompanying paper "Gradient Descent on Neurons and its Link to Approximate Second-order Optimization"
MatOpt/PG-GLOnet
Progressively growing GLOnet
MatOpt/PortfolioOptimization
Material accompanying the MOSEK Portfolio Optimization Cookbook
MatOpt/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
MatOpt/python_data_analysis_and_mining_action
《python数据分析与挖掘实战》的代码笔记
MatOpt/RISRO
Code for paper "Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence" by Yuetian Luo, Wen Huang, Xudong Li and Anru R. Zhang