Technical Program

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

D-14: Supervised and Self-Supervised Learning

Session Type: Virtual
Time: Wednesday, November 2, 09:30 - 10:30
Location: Virtual D
Virtual Session: Attend on Virtual Platform
 
D-14.1: Identifying Dependent Annotators in Crowdsourcing
         Panagiotis Traganitis; Michigan State University
         Georgios B. Giannakis; University of Minnesota
 
D-14.2: A Variance Reduced Nonconvex Stochastic Optimization framework for Online Kernel Learning
         Hrusikesha Pradhan; Indian Institute of Technology Kanpur
         Ketan Rajawat; Indian Institute of Technology Kanpur
 
D-14.3: Fairness Aware Machine Learning Models via Compositional Stochastic Programming
         Srujan Teja Thomdapu; Indian Institute of Technology, Kanpur
         Harshvardhan Harshvardhan; University of California San Diego
         Ketan Rajawat; Indian Institute of Technology, Kanpur