Seminars

January 2021

Sun

Mon

Tue

Wed

Thu

Fri

Sat
27
28
29
30
31
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7
4 p.m. - 5:45 p.m.
CS 201: On Optimization and the Miracle of Linearity in Deep Learning, MIKHAIL BELKIN, UC SAN DIEGO
8
9
10
11
12
4 p.m. - 5:45 p.m.
CS 201: Self-Distillation Amplifies Regularization in Hilbert Space, HOSSEIN MOBAHI, Google Research
13
14
4 p.m. - 5:45 p.m.
CS 201: A Phase Transition in Gradient Descent for Wide, Deep Neural Networks, YASAMAN BAHRI, Google Brain
15
16
17
18
19
4 p.m. - 5:45 p.m.
CS 201: Challenges in Reliable Machine Learning, KAMALIKA CHAUDHURI, UC San Diego
20
21
4 p.m. - 5:45 p.m.
CS 201: The Unpaved Path of Deploying Reliable and Human-Centered Machine Learning Systems, BESMIRA NUSHI, Microsoft Research
22
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24
25
26
27
28
29
30
31
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