Algorithm Anti-Differentiation and A case study with PageRank, min-cuts, and flow

David F. Gleich

Michael W. Mahoney

Contents

These are the computational codes and data that go along with the ICML 2014 paper

David F. Gleich and Michael Mahoney
Algorithm Anti-Differentiation: A case study with min-cuts, spectral, and flow
In Proceedings of the International Conference on Machine Learning, 2014.

Downloads

Files

Demos

Algorithms

Helpers

Testing

This directory contains a whole bunch of scripts that we developed while working out the theory. Think of this as a lab-notebook for what we looked at before the full picture came together.