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 |