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March 2021 |
Sun
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Mon
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Tue
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Wed
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Thu
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Fri
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Sat
|
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28
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1
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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
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3
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4
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5
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6
|
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7
|
8
|
9
4 p.m. - 5:45 p.m.
CS 201: What is Causal Inference? - A Logical Perspective, JUDEA PEARL, UCLA - Computer Science Department
|
10
|
11
|
12
|
13
|
|
14
|
15
|
16
|
17
|
18
|
19
|
20
|
|
21
|
22
|
23
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24
|
25
|
26
|
27
|
|
28
|
29
|
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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31
|
1
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2
|
3
|
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