Understanding Non-Convex Optimization Problems in Statistical Learning

Organizer: Rahul Mazumder, Massachusetts Institute of Technology
Chair: Rahul Mazumder, Massachusetts Institute of Technology
Time: Saturday, 16:30–18:00
Room: LInC 268

16:30-17:00

Asymptotic comparison of q-norm regularized least squares

Arian Maleki, Columbia University

17:00-17:30

High-dimensional regression with L_0 regularization

Peter Radchenko, University of Southern California

17:30-18:00

Advanced Mixed Integer Programming Formulations for Non-Convex Optimization Problems in Statistical Learning

Juan Pablo Vielma, Massachusetts Institute of Technology