Technical Program

WA4b: Information-theoretic Approaches to Machine Learning (Invited)

Session Type: Oral
Time: Wednesday, October 31, 10:15 - 11:30
Location: Heather
Session Chair: Matthew Nokleby, Wayne State University
 
WA4b-1: UNDERSTANDING GENERATIVE ADVERSARIAL NETWORKS VIA A DISTANCE METRIC
         Kaiyi Ji; Ohio State University
         Yi Zhou; Ohio State University
         Yingbin Liang; Ohio State University
 
WA4b-2: OPTIMAL TRAINING CHANNEL STATISTICS FOR NEURAL-BASED DECODERS
         Meryem Benammar; ISAE Supaero
         Pablo Piantanida; CentraleSupélec and MILA unviversité de Montréal
 
WA4b-3: DISTRIBUTED VARIATIONAL INFERENCE -- AN INFORMATION THEORETIC VIEW
         Iñaki Estella Aguerri; Huawei Technologies
         Abdellatif Zaidi; Huawei Technologies and Université Paris-Est
 
WA4b-4: GENERATIVE ADVERSARIAL PRIVACY: A DATA-DRIVEN APPROACH TO INFORMATION-THEORETIC PRIVACY
         Chong Huang; Arizona State University
         Peter Kairouz; Stanford University
         Lalitha Sankar; Arizona State University