Graph learning |
| Session Type: Lecture |
| Time: Monday, June 3, 10:00 - 12:00 |
| Location: Lecture Room 1 |
| Session Chair: Zhi Tian, George Mason University |
| Paper #1: GRAPH TOPOLOGY LEARNING AND SIGNAL RECOVERY VIA BAYESIAN INFERENCE |
| Mahmoud Ramezani-Mayiami; University of Agder |
| Mohammad Hajimirsadeghi; Princeton/Lehigh University |
| Karl Skretting; University of Stavanger |
| Rick S. Blum; Lehigh University |
| H. Vincent Poor; Princeton University |
| Paper #2: GRAPHICAL MODELS AND DYNAMIC LATENT FACTORS FOR MODELING FUNCTIONAL BRAIN CONNECTIVITY |
| Andersen Chang; Rice University |
| Tianyi Yao; Rice University |
| Genevera Allen; Rice University |
| Paper #3: SEMI-SUPERVISED TRACKING OF DYNAMIC PROCESSES OVER SWITCHING GRAPHS |
| Qin Lu; University of Minnesota |
| Vassilis N. Ioannidis; University of Minnesota |
| Georgios B. Giannakis; University of Minnesota |
| Paper #4: TIME-VARYING INTERACTION ESTIMATION USING ENSEMBLE METHODS |
| Brandon Oselio; University of Michigan |
| Alfred Hero; University of Michigan |
| Amir Sadeghian; Stanford University |
| Silvio Savarese; Stanford University |
| Paper #5: CLUSTERED GAUSSIAN GRAPHICAL MODEL VIA SYMMETRIC CONVEX CLUSTERING |
| Tianyi Yao; Rice University |
| Genevera Allen; Rice University |
| Paper #6: SCALABLE LEARNING WITH PRIVACY OVER GRAPHS |
| Yanning Shen; University of Minnesota |
| Geert Leus; Delft University of Technology |