Optimization for ML and AI Seminar with Courtney Paquette (McGill University)
October 24 @ 11:00 - 12:00
Title and abstract TBA…
Courtney Paquette is an assistant professor at McGill University in the Mathematics and Statistics department, a CIFAR AI Chair (MILA), and an active member of the Montreal Machine Learning Optimization Group (MTL MLOpt) at MILA. Her research broadly focuses on designing and analyzing algorithms for large-scale optimization problems, motivated by applications in data science, and using techniques that draw from a variety of fields, including probability, complexity theory, and convex and nonsmooth analysis. Dr. Paquette is a lead organizers of the OPT-ML Workshop at NeurIPS since 2020, and a lead organizers (and original creator) of the High-dimensional Learning Dynamics (HiLD) Workshop at ICML.