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My ICASSP 2017 Schedule

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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