Technical Program

Note: All times are in Pacific Daylight Time (UTC -7)

C-10: Representation and Learning on Graphs (invited)

Session Type: Virtual
Time: Wednesday, November 03, 09:45 - 11:15
Location: Room 3
Virtual Session: Attend on Virtual Platform
Session Chair: Sundeep Chepuri, Indian Institute of Science (IISc), India
 
C-10.1: Spatio-Temporal Inference of Dynamical Gaussian Processes over Graphs
         Qin Lu; University of Minnesota
         Georgios Giannakis; University of Minnesota
 
C-10.2: A Fast Algorithm for Graph Learning under Attractive Gaussian Markov Random Fields
         Jiaxi Ying; The Hong Kong University of Science and Technology
         José Vinícius de M. Cardoso; The Hong Kong University of Science and Technology
         Daniel P. Palomar; The Hong Kong University of Science and Technology
 
C-10.3: Online Change Point Detection for Random Dot Product Graphs
         Bernardo Marenco; Facultad de Ingenieria, Universidad de la Republica
         Paola Bermolen; Facultad de Ingenieria, Universidad de la Republica
         Marcelo Fiori; Facultad de Ingenieria, Universidad de la Republica
         Federico Larroca; Facultad de Ingenieria, Universidad de la Republica
         Gonzalo Mateos; University of Rochester
 
C-10.4: Learning a Partial Graph and the Nyström Extension for Spectral Clustering
         Sravanthi Gurugubelli; Indian Institute of Science
         Sai Kiran Kadambari; Indian Institute of Science
         Sundeep Prabhakar Chepuri; Indian Institute of Science