Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.

README.md

Approximate Inference via Weighted Rademacher Complexity

This repository contains code used for experiments described in:

Approximate Inference via Weighted Rademacher Complexity
Jonathan Kuck, Ashish Sabharwal, Stefano Ermon
AAAI Conference on Artificial Intelligence (AAAI), 2018.
Paper: https://arxiv.org/abs/1801.09028
Blog post: https://ermongroup.github.io/blog/rademacher/

To reproduce Ising model experiments, see refactored_multi_model/ising_model.py.
To reproduce # SAT experiments, see refactored_multi_model/sat_model.py.

About

No description, website, or topics provided.

Resources

Releases

No releases published

Packages

No packages published

Languages

You can’t perform that action at this time.