Technical Program

Note: All times are in Pacific Daylight Time (UTC -7)

D-17: Fast and Scalable Algorithms in Machine Learning

Session Type: Virtual
Time: Wednesday, November 2, 11:00 - 12:00
Location: Virtual D
Virtual Session: Attend on Virtual Platform
 
D-17.1: Multi-Randomized Kaczmarz for Latent Class Regression
         Erin George; University of California, Los Angeles
         Yotam Yaniv; University of California, Los Angeles
         Deanna Needell; University of California, Los Angeles
 
D-17.2: Memory-Efficient Convex Optimization for Self-Dictionary Nonnegative Matrix Factorization
         Tri Nguyen; Oregon State University
         Xiao Fu; Oregon State University
         Ruiyuan Wu; The Chinese University of Hong Kong
 
D-17.3: BiG-VAMP: The Bilinear Generalized Vector Approximate Message Algorithm
         Mohamed Akrout; University of Manitoba
         Anis Housseini; University of Manitoba
         Faouzi Bellili; University of Manitoba
         Amine Mezghani; University of Manitoba
 
D-17.4: Adaptive Bandit Cluster Selection for Graph Neural Networks
         Ghadir Ayache; Rutgers University
         Thomas Hugues; Etsy
         Chris Xu; Etsy
         Julia Zhang; Etsy
         Diane Hu; Etsy
 
D-17.5: Efficient Multi-View Learning Based on the Information Bottleneck Paradigm
         Teng-Hui Huang; Purdue University
         Aly El Gamal; Amazon.com
         Hesham El Gamal; The University of Sydney