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 |