MLSP-P9: Graphical, Kernel and Tensor Methods |
Session Type: Poster |
Time: Thursday, 7 May, 09:00 - 11:00 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chair: Kejun Huang, University of Florida
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MLSP-P9.1: KERNEL RIDGE REGRESSION WITH AUTOCORRELATION PRIOR: OPTIMAL MODEL AND CROSS-VALIDATION |
Akira Tanaka; Hokkaido University |
Hideyuki Imai; Hokkaido University |
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MLSP-P9.2: GENERALIZED KERNEL-BASED DYNAMIC MODE DECOMPOSITION |
Patrick Héas; Inria & Irmar, Univ. Rennes |
Cédric Herzet; Inria & Irmar, Univ. Rennes |
Benoit Combès; Inria & Irisa, Univ. Rennes |
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MLSP-P9.3: AN ONLINE KERNEL SCALAR QUANTIZATION SCHEME FOR SIGNAL CLASSIFICATION |
Jing Guo; Purdue University |
Raghu Raj; U.S. Naval Research Laboratory |
David Love; Purdue University |
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MLSP-P9.4: SELF-DRIVEN GRAPH VOLTERRA MODELS FOR HIGHER-ORDER LINK PREDICTION |
Mario Coutino; Delft University of Technology |
Georgios V. Karanikolas; University of Minnesota |
Geert Leus; Delft University of Technology |
Georgios B. Giannakis; University of Minnesota |
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MLSP-P9.5: GRAPH CONSTRUCTION FROM DATA BY NON-NEGATIVE KERNEL REGRESSION |
Sarath Shekkizhar; University of Southern California |
Antonio Ortega; University of Southern California |
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MLSP-P9.6: STRUCTURED CITATION TREND PREDICTION USING GRAPH NEURAL NETWORKS |
Daniel Cummings; Intel |
Marcel Nassar; Intel |
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MLSP-P9.7: REVISITING FAST SPECTRAL CLUSTERING WITH ANCHOR GRAPH |
Cheng-Long Wang; Northwestern Polytechnical University |
Feiping Nie; Northwestern Polytechnical University |
Rong Wang; Northwestern Polytechnical University |
Xuelong Li; Northwestern Polytechnical University |
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MLSP-P9.8: A GRAPH NETWORK MODEL FOR DISTRIBUTED LEARNING WITH LIMITED BANDWIDTH LINKS AND PRIVACY CONSTRAINTS |
Juan Parras; Universidad Politécnica de Madrid |
Santiago Zazo; Universidad Politécnica de Madrid |
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MLSP-P9.9: GRAPH REGULARIZED TENSOR TRAIN DECOMPOSITION |
Seyyid Emre Sofuoglu; Michigan State University |
Selin Aviyente; Michigan State University |
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MLSP-P9.10: WEIGHTED KRYLOV-LEVENBERG-MARQUARDT METHOD FOR CANONICAL POLYADIC TENSOR DECOMPOSITION |
Petr Tichavsky; Academy of Sciences of the Czech Republic |
Anh-Huy Phan; Skolkovo Institute of Science and Technology (Skoltech) |
Andrzej Cichocki; Skolkovo Institute of Science and Technology (Skoltech) |
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MLSP-P9.11: LOW-COMPLEXITY LEVENBERG-MARQUARDT ALGORITHM FOR TENSOR CANONICAL POLYADIC DECOMPOSITION |
Kejun Huang; University of Florida |
Xiao Fu; Oregon State University |
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MLSP-P9.12: A MOMENT-BASED APPROACH FOR GUARANTEED TENSOR DECOMPOSITION |
Arthur Marmin; Université Paris-Saclay, CentraleSupélec, Inria |
Marc Castella; CNRS, Télécom SudParis, Institut Polytechnique de Paris |
Jean-Christophe Pesquet; Université Paris-Saclay, CentraleSupélec, Inria |
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