D-14: Machine Learning II |
| Session Type: Virtual |
| Time: Monday, November 01, 09:45 - 11:15 |
| Location: Room 3 |
| Virtual Session: Attend on Virtual Platform |
| Session Chair: Jose Cadena, Lawrence Livermore National Laboratory |
| D-14.1: Decentralized Black-Box Variational Inference for Bayesian Learning on Sensor Networks |
| Jose Cadena; Lawrence Livermore National Laboratory |
| Priyadip Ray; Lawrence Livermore National Laboratory |
| Ryan Goldhahn; Lawrence Livermore National Laboratory |
| D-14.2: Feature Learning for Neural-Network-Based Positioning with Channel State Information |
| Emre Gonultas; Ericsson |
| Sueda Taner; ETH Zurich |
| Howard Huang; Nokia Bell-Labs |
| Christoph Studer; ETH Zurich |
| D-14.3: New Results on Graphical Modeling of High-Dimensional Dependent Time Series |
| Jitendra Tugnait; Auburn University |
| D-14.4: Kernel-Based Lifelong Multitask Multiview Learning |
| Rami Mowakeaa; University of Maryland, Baltimore County |
| Seung-Jun Kim; University of Maryland, Baltimore County |
| Darren Emge; Chemical Biological Center |