A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

This is implementation Lasso with Coordinate Descent and LARS (Least Angle Regression).

Variational Inference in Gaussian Mixture Model

Code for the paper "Let’s Make Block Coordinate Descent Go Fast"

Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. Oudre, N. Vayatis.

Implementation of Relaxed Lasso Algorithm for Linear Regression.

Associated codebase for Byzantine-resilient distributed / decentralized machine learning papers from INSPIRE Lab

Use Ridge Regression and Lasso Regression in prostate cancer data

a python script of a function summarize some popular methods about gradient descent

Block-coordinate Gauss-Newton

Projects done in the AI learning algorithm class @ UCSD

Sample Convex Optimization using Gradient Descent, Newton's method and Coordinate Descent

Implementation of optimization algorithms in python

Implementation of Relaxed Lasso Algorithm for Linear Regression.

Workshop on the course "Computer decision support systems" at V. N. Karazin Kharkiv National University