Seminars

March 2021

Tuesday, March 2, 2021

 

Mar 2

4 p.m. - 5:45 p.m.

CS 201: Feature Purification: How Can Adversarial Training Perform Robust Deep Learning, YUANZHI LI, Carnegie Mellon University

 

Tuesday, March 9, 2021

 

Mar 9

4 p.m. - 5:45 p.m.

CS 201: What is Causal Inference? - A Logical Perspective, JUDEA PEARL, UCLA - Computer Science Department

 

Tuesday, March 30, 2021

 

Mar 30

4 p.m. - 5:45 p.m.

CS 201: Relaxing the I.I.D. Assumption: Adaptively Minimax Optimal Regret via Root-Entropic Regularization, DANIEL ROY - BLAIR BILODEAU, University of Toronto


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