Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. Oudre, N. Vayatis.
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Updated
Jan 24, 2019 - Python
Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. Oudre, N. Vayatis.
Sample Convex Optimization using Gradient Descent, Newton's method and Coordinate Descent
Use Ridge Regression and Lasso Regression in prostate cancer data
Projects done in the AI learning algorithm class @ UCSD
Variational Inference in Gaussian Mixture Model
a python script of a function summarize some popular methods about gradient descent
Associated codebase for Byzantine-resilient distributed / decentralized machine learning papers from INSPIRE Lab
Implementation of Relaxed Lasso Algorithm for Linear Regression.
Implementation of Relaxed Lasso Algorithm for Linear Regression.
Implementation of optimization algorithms in python
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).
Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
Workshop on the course "Computer decision support systems" at V. N. Karazin Kharkiv National University
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
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