MP3b.4

Computationally Efficient Active Learning of Gaussian Graphical Models

Abrar Zahin, Gautam Dasarathy, Arizona State University, United States
Session:
MP3b: Advances in Graph Signal Processing and Learning Lecture
Track:
Networks and Graphs
Location:
Scripps
Presentation Time:
Mon, 28 Oct, 16:45 - 17:10 PT (UTC -8)
Session Chair:
Gerald Matz, Technische Universität Wien
Presentation
Discussion
Resources
No resources available.
Session MP3b
MP3b.1: Graph Signal Processing for Compositional Data
Dimitrios Kalodikis, Gerald Matz, TU Wien, Austria
MP3b.2: Identifying Anomalous Edges with Link Sampling and Consensus
Abdullah Karaaslanli, Panagiotis Traganitis, Selin Aviyente, Michigan State University, United States
MP3b.3: Convolutional Learning on Directed Acyclic Graphs
Samuel Rey, Rey Juan Carlos University, Spain; Hamed Ajorlou, Gonzalo Mateos, University of Rochester, Spain
MP3b.4: Computationally Efficient Active Learning of Gaussian Graphical Models
Abrar Zahin, Gautam Dasarathy, Arizona State University, United States
Contacts