WA4a: Deep Learning Theory (Invited) |
Session Type: Oral |
Time: Wednesday, November 6, 08:15 - 09:55 |
Location: Heather |
Session Chair: Tom Goldstein, University of Maryland, College Park |
WA4a-1: A THEORETICAL LOOK AT ADVERSARIAL ATTACKS ON NEURAL NETWORKS |
Tom Goldstein; University of Maryland |
Ali Shafahi; University of Maryland |
W Ronny Huang; University of Maryland |
Soheil Feizi; University of Maryland |
WA4a-2: RANDOMIZED ALTERNATING DIRECTIONS METHODS FOR EFFICIENT DISTRIBUTED OPTIMIZATION |
Mert Pilanci; Stanford University |
WA4a-3: ROBUSTNESS AND GENERALIZATION GUARANTEES FOR OVER-PARAMETERIZED NEURAL NETWORK TRAINING |
Mahdi Soltanolkotabi; University of Southern California |
WA4a-4: LOW-DIMENSIONAL MODELS AND DEEP NETWORKS FOR HIGH-DIMENSIONAL DATA |
Yi Ma; University of California, Berkeley |