Joint graph learning and model fitting in Laplacian Regularized Stratified Models

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

Anderson Acceleration for Deep Learning

A library for mean-field games.

reinforcement learning with pytorch geometric library

Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.

Anderson Acceleration

Anderson accelerated Douglas-Rachford splitting

Minimum-distortion embedding with PyTorch

rsw: optimal representative sample weighting.

A distributed method for fitting Laplacian regularized stratified models.

CME211 Notes

Differentiation through cone programs

Face recognition with deep neural networks.