Technical Program

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