Technical Program
SS-L15: Graph Topology Inference |
| Session Type: Lecture |
| Time: Thursday, March 9, 13:30 - 15:30 |
| Location: Grand Salon 21 |
| Session Chairs: Alejandro Ribeiro, University of Pennsylvania and Michael Rabbat, McGill University |
| SS-L15.1: LEARNING SPARSE GRAPHS UNDER SMOOTHNESS PRIOR |
| Sundeep Prabhakar Chepuri; Delft University of Technology |
| Sijia Liu; University of Michigan, Ann Arbor |
| Geert Leus; Delft University of Technology |
| Alfred O. Hero; University of Michigan, Ann Arbor |
| SS-L15.2: TOPOLOGY INFERENCE OF DIRECTED GRAPHS USING NONLINEAR STRUCTURAL VECTOR AUTOREGRESSIVE MODELS |
| Yanning Shen; University of Minnesota |
| Brian Baingana; University of Minnesota |
| Georgios B. Giannakis; University of Minnesota |
| SS-L15.3: ROBUST NETWORK TOPOLOGY INFERENCE |
| Santiago Segarra; Massachusetts Institute of Technology |
| Antonio G. Marques; King Juan Carlos University |
| Gonzalo Mateos; University of Rochester |
| Alejandro Ribeiro; University of Pennsylvania |
| SS-L15.4: GRAPH LEARNING UNDER SPARSITY PRIORS |
| Hermina Petric Maretic; École Polytechnique Fédérale de Lausanne |
| Dorina Thanou; École Polytechnique Fédérale de Lausanne |
| Pascal Frossard; École Polytechnique Fédérale de Lausanne |
| SS-L15.5: GEOMETRY-ADAPTED GAUSSIAN RANDOM FIELD REGRESSION |
| Zhen Zhang; Washington University in St. Louis |
| Mianzhi Wang; Washington University in St. Louis |
| Yijian Xiang; Washington University in St. Louis |
| Arye Nehorai; Washington University in St. Louis |
| SS-L15.6: INFERRING SPARSE GRAPHS FROM SMOOTH SIGNALS WITH THEORETICAL GUARANTEES |
| Michael G. Rabbat; McGill University |