group-lasso
There are 1 repository under group-lasso topic.
IntelLabs / distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Language:Jupyter Notebook 4340jaredhuling / oem
Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
Language:C++ 27- Language:Julia 13
stephenberg / bcd
Block coordinate descent for group lasso
Language:C++ 6AkexStar / Algorithms-group-LASSO-problem
北大文再文-最优化方法（凸优化）-程序作业 Course homework for Optimization Methods 2023 Fall, PKU WenZW
Language:Python 3LamineTourelab / grpregOverlap
Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
Language:R 3modal-inria / MLGL
Procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data
Language:R 3egpivo / QuantRegGLasso
R Package: Adaptively weighted group lasso for semiparametic quantile regression models
Language:R 2- sparse-cheml
sanjaradylov / sparse-cheml
Molecular-property prediction with sparsity
Language:Python 2 rightaway006 / Penalized-regression-on-high-dimensional-data
We explored various approaches to deal with high-dimensional data in this study, and we compared them using simulation and soil datasets. We discovered that grouping had a significant impact on model correctness and error reduction. For the core projection step, we first looked at the properties of all the algorithms and how they function to come up with the best possible answer and which technique outperforms the others and why. OSCAR is a competitive regularize for classification and regression problems, with the extra capability of automatic feature aggregation, as computed and illustrated in the experiments.
Language:TeX 1SzymonNowakowski / DMRnet
This is a development version of DMRnet — Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data.
Language:R 1dankessler / 608a-project
My project for STATS-608A in Fall 2018 at the University of Michigan
Language:TeX 0本仓库归档弃用 移至https://github.com/AkexStar/Algorithms-group-LASSO-problem
Language:Python- Language:R
