Technical Program

BD-L1: Graph Signal Processing and Learning

Session Type: Lecture
Time: Tuesday, March 22, 16:00 - 18:00
Location: Room 3E
Session Chair: Georgios Giannakis, University of Minnesota
 
BD-L1.1: SIGNAL PROCESSING ON GRAPHS: PERFORMANCE OF GRAPH STRUCTURE ESTIMATION
         Jonathan Mei; Carnegie Mellon University
         José M. F. Moura; Carnegie Mellon University
 
BD-L1.2: GRAPH SIGNAL RECOVERY FROM INCOMPLETE AND NOISY INFORMATION USING APPROXIMATE MESSAGE PASSING
         Gita Babazadeh Eslamlou; Vienna University of Technology
         Alexander Jung; Aalto University
         Norbert Görtz; Vienna University of Technology
         Mehdi Fereydooni; Amirkabir University of Technology
 
BD-L1.3: ACTIVE LEARNING ON WEIGHTED GRAPHS USING ADAPTIVE AND NON-ADAPTIVE APPROACHES
         Eyal En Gad; University of Southern California
         Akshay Gadde; University of Southern California
         A. Salman Avestimehr; University of Southern California
         Antonio Ortega; University of Southern California
 
BD-L1.4: OUTLYING SEQUENCE DETECTION IN LARGE DATASETS: COMPARISON OF UNIVERSAL HYPOTHESIS TESTING AND CLUSTERING
         Yun Li; Walmart Labs
         Venugopal V. Veeravalli; University of Illinois at Urbana-Champaign
 
BD-L1.5: QUICKEST CONVERGENCE OF ONLINE ALGORITHMS VIA DATA SELECTION
         Daniel Romero; University of Minnesota
         Dimitris Berberidis; University of Minnesota
         Georgios B. Giannakis; University of Minnesota
 
BD-L1.6: SKETCHING FOR LARGE-SCALE LEARNING OF MIXTURE MODELS
         Nicolas Keriven; Inria
         Anthony Bourrier; GIPSA-Lab
         Rémi Gribonval; Inria
         Patrick Pérez; Technicolor
 

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