Reproduce “Matching on What Matters: A Pseudo-Metric Learning Approach to Matching Estimation in High Dimensions” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Gentry Johnson, Brian Quistorff, Matt Goldman

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.