Skip to content
Texas A&M University

Colloquium - Stephan Wojtowytsch

Date: November 23, 2020

Time: 1:00PM - 2:00PM

Location: Zoom

Speaker: Stephan Wojtowytsch, Princeton University


Title: Beating the curse of dimensionality in machine learning?
Abstract: In the last two decades, machine learning has facilitated breakthroughs in fields as diverse as image classification, natural language processing and artificial intelligence for strategy games. A common task in these applications is approximating functions on very high-dimensional spaces. Neural networks form a non-linear function class, which appears to be uniquely suited to this task in which linear function classes fail in many examples. In this presentation, we discuss some challenges of high-dimensional analysis and the reasons behind the success of artificial neural networks as well as their limitations.