Konstantinos Christopher Tsiolis: High-Dimensional Learning Dynamics: Recent Progress and Open Problems
When and Where
Speakers
Description
Welcome to our casual research seminar organized in the Department of Statistical Sciences at the University of Toronto. Our aim is to explore the diverse research conducted by our faculty, students, and postdocs. Talks usually last 30 to 45 minutes, followed by discussions. We cover current research, overviews of emerging topics, and more. Some pizza and soda will be offered before the seminar around 12:20pm.
On November 18th, join Konstantinos Christopher Tsiolis for a talk on High-Dimensional Learning Dynamics: Recent Progress and Open Problems. The seminar will present recent theoretical studies of stochastic gradient descent (SGD) training of linear models and neural networks on high-dimensional problems
Seminar organizers: Christopher Blier-Wong & Biprateep Dey & Dehan Kong & Kathleen Miao & Chao Wang.