Technical Program

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

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