AnthonyMRios / proximal-methods-notes

Notes for Proximal Methods

This repository contains notes/implementations of methods discussed in my UKNLP presentation.

Table of Contents

1. LASSO Regression
2. [Non-negative Matrix Factorization](notes/Non-negative Matrix Factorization.ipynb)
3. [Distance Metric Learning](notes/Distance Metric Learning.ipynb)

References

LASSO and Basic Proximal Methods

• Parikh and Boyd, 2013

Non-negative Matrix Factorization

• Lin, 2007
• Li, 2001
• Zhang et al., 2006
• Ding et al., 2008
• Riedel et al., 2013
• Joshi et al., 2016

Metric Learning

• Huang, 2009
• Henrion and Malick, 2012

Other

• Chambolle et al., 2009
• Hallac et al., 2015
• Yogatama and Smith, 2014
• Elhamifar et al., 2013