Machine Learning Theory and Algorithms

The goal of Machine Learning Theory is to understand fundamental principles and capabilities of learning from data, as well as designing and analyzing machine learning algorithms. We invite you to the Machine Learning Theory Session of CSL student conference if you are curious about when, how, and why machine learning algorithms work.

The session consists of a keynote speech followed by several student talks in which students present their current research. Besides the theoretical aspects of machine learning, this session covers topics including (but not limited to) statistical inference, algorithms, graphical models, signal processing, etc.

Confirmed Speakers

Keynote Speaker – Coming Soon

Talk Title
Time and PLace

Summary
Bio
Bio

Invited Student Speaker

Name+affiliation
Talk title
time and place

Summary
Bio
Bio

UIUC Speakers