Optimization @ Princeton

Papers and projects

• • MLCommons training algorithms benchmark

  • SAMUEL: adaptive gradient methods with local guarantees.

  • GGT: efficient full matrix adaptive regularization.

  • Extreme Tensoring: memory efficient adaptive regularization.

Books and Talks

• • Simons foundation tutorial / INFORMS keynote on optimization for machine learning

  • Introduction to Online Convex Optimization

  • Lecture notes: optimization for machine learning