SS-L21: Variational Inference and Approximate Bayesian Techniques
Fri, 19 Apr, 08:20 - 10:20 (UTC +9)
Location: Room E8
Session Type: Lecture
Session Co-Chairs: Dirk Slock, EURECOM and Sergios Theodoridis, Aalborg University
Track: Special Sessions
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Fri, 19 Apr, 08:20 - 08:40 (UTC +9)
 

SS-L21.1: DECENTRALIZED GENERALIZED APPROXIMATE MESSAGE-PASSING FOR TREE-STRUCTURED NETWORKS
Keigo Takeuchi, Toyohashi University of Technology, Japan
Fri, 19 Apr, 08:40 - 09:00 (UTC +9)
 

SS-L21.2: Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models
Zhidi Lin, The Chinese University of Hong Kong, Shenzhen, China; Juan Maroñas, Autonomous University of Madrid, and Cognizant, Spain; Ying Li, The University of Hong Kong, China; Feng Yin, The Chinese University of Hong Kong, Shenzhen, China; Sergios Theodoridis, National and Kapodistrian University of Athens, Greece
Fri, 19 Apr, 09:00 - 09:20 (UTC +9)
 

SS-L21.3: INFERENCE OF GENETIC EFFECTS VIA APPROXIMATE MESSAGE PASSING
Al Depope, Marco Mondelli, Matthew Robinson, Institute of Science and Technology Austria (ISTA), Austria
Fri, 19 Apr, 09:20 - 09:40 (UTC +9)
 

SS-L21.4: VECTOR APPROXIMATE MESSAGE PASSING FOR NOT SO LARGE N.I.I.D. GENERALIZED I/O LINEAR MODELS
Zilu Zhao, Fangqing Xiao, Dirk Slock, Eurecom, France
Fri, 19 Apr, 09:40 - 10:00 (UTC +9)
 

SS-L21.5: BAYESIAN LEARNING-BASED KALMAN SMOOTHING FOR LINEAR DYNAMICAL SYSTEMS WITH UNKNOWN SPARSE INPUTS
Rupam Kalyan Chakraborty, Indian Institute of Science, India; Geethu Joseph, Delft University of Technology, Netherlands; Chandra R. Murthy, Indian Institute of Science, India
Fri, 19 Apr, 10:00 - 10:20 (UTC +9)
 

SS-L21.6: ESTIMATION OF SPECTRAL LINES USING EXPECTATION PROPAGATION
Jiang Zhu, Xupeng Lei, Zhejiang University, China; Mihai-Alin Badiu, University of Oxford, United Kingdom of Great Britain and Northern Ireland