MLSP-L21: Learning Theory and Methods
Fri, 19 Apr, 08:20 - 10:20 (UTC +9)
Location: Room E3
Session Type: Lecture
Session Co-Chairs: Ercan E Kuruoglu, Tsinghua Shenzhen International Graduate School and Abhisek Chakraborty, Texas A&M University
Track: Machine Learning for Signal Processing
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Fri, 19 Apr, 08:20 - 08:40 (UTC +9)
 

MLSP-L21.1: SEQUENTIAL MONTE CARLO GRAPH CONVOLUTIONAL NETWORK FOR DYNAMIC BRAIN CONNECTIVITY
Fengfan Zhao, Ercan Engin Kuruoglu, Tsinghua University, China
Fri, 19 Apr, 08:40 - 09:00 (UTC +9)
 

MLSP-L21.2: PROBABILISTIC SPIKE TRAIN INFERENCE
Abhisek Chakraborty, Texas A&M University, United States of America
Fri, 19 Apr, 09:00 - 09:20 (UTC +9)
 

MLSP-L21.3: LEARNED LAYERED CODING FOR SUCCESSIVE REFINEMENT IN THE WYNER-ZIV PROBLEM
Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis, Vrije Universiteit Brussel, Belgium
Fri, 19 Apr, 09:20 - 09:40 (UTC +9)
 

MLSP-L21.4: UNDERSTANDING PROBE BEHAVIORS THROUGH VARIATIONAL BOUNDS OF MUTUAL INFORMATION
Kwanghee Choi, Jee-weon Jung, Shinji Watanabe, Carnegie Mellon University, United States of America
Fri, 19 Apr, 09:40 - 10:00 (UTC +9)

MLSP-L21.5: MINIMIZING LOW-RANK MODELS OF HIGH-ORDER TENSORS: HARDNESS, SPAN, TIGHT RELAXATION, AND APPLICATIONS
Nicholas Sidiropoulos, Paris Karakasis, University of Virginia, United States of America; Aritra Konar, KU Leuven, Belgium
Fri, 19 Apr, 10:00 - 10:20 (UTC +9)

MLSP-L21.6: Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization
Jim Beckers, Bart van Erp, Ziyue Zhao, Kirill Kondrashov, Bert de Vries, Eindhoven University of Technology Ringgold standard institution - Electrical Engineering Eindhoven Netherlands and GN Hearing AS Ringgold standard institution Eindhoven Netherlands