D-18: Theory for Machine Learning |
Session Type: Virtual |
Time: Monday, November 01, 11:15 - 12:45 |
Location: Room 3 |
Virtual Session: Attend on Virtual Platform |
Session Chair: Cynthia Rush, Columbia University |
D-18.1: A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression |
Batoul Taki; Rutgers University |
Mohsen Ghassemi; Rutgers University |
Anand Sarwate; Rutgers University |
Waheed Bajwa; Rutgers University |
D-18.2: Information Theoretic Approach to L-Estimators |
Alex Dytso; New Jersey Institute of Technology |
Martina Cardone; University of Minnesota |
Cynthia Rush; Columbia University |
D-18.3: EE-Grad: Exploration and Exploitation for Cost-Efficient Mini-Batch SGD |
Mehmet Donmez; University of Illinois at Urbana Champaign |
Jeff Ludwig; University of California Irvine |
Maxim Ragisky; University of Illinois at Urbana Champaign |
Andrew Singer; University of Illinois at Urbana Champaign |
D-18.4: Provable Data Clustering via Innovation Search |
Weiwei Li; Baidu |
Mostafa Rahmani; Baidu |
Ping Li; Baidu |