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Nonconvex Optimization Tools for Large-Scale Matrix and Tensor Decomposition with Structured Factors


Jun 15, 2020
Xiao Fu, Nico Vervliet, Lieven De Lathauwer, Kejun Huang, Nicolas Gillis


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Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms


Sep 26, 2019
Shahana Ibrahim, Xiao Fu, Nikos Kargas, Kejun Huang

* 28 pages, 5 figures, to appear in 33rd NeurIPS conference, Vancouver, Canada 

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SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems


Jul 09, 2019
Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong


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Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization


Jan 16, 2019
Xiao Fu, Cheng Gao, Hoi-To Wai, Kejun Huang

* single-column, 32 pages 

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Learning Nonlinear Mixtures: Identifiability and Algorithm


Jan 06, 2019
Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang

* 15 pages 

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Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications


Oct 18, 2018
Xiao Fu, Kejun Huang, Nicholas D. Sidiropoulos, Wing-Kin Ma

* accepted version, IEEE Signal Processing Magazine 

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Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling


Jun 18, 2018
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos

* ICML 2018 

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Kullback-Leibler Principal Component for Tensors is not NP-hard


Nov 21, 2017
Kejun Huang, Nicholas D. Sidiropoulos

* Asilomar 2017 

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On Convergence of Epanechnikov Mean Shift


Nov 20, 2017
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos

* AAAI 2018 

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Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis


May 04, 2017
Xiao Fu, Kejun Huang, Mingyi Hong, Nicholas D. Sidiropoulos, Anthony Man-Cho So


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Tensor Decomposition for Signal Processing and Machine Learning


Dec 14, 2016
Nicholas D. Sidiropoulos, Lieven De Lathauwer, Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Christos Faloutsos

* revised version, overview article 

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Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm


Nov 15, 2016
Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos


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Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering


Aug 15, 2016
Xiao Fu, Kejun Huang, Bo Yang, Wing-Kin Ma, Nicholas D. Sidiropoulos


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A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization


Oct 28, 2015
Kejun Huang, Nicholas D. Sidiropoulos, Athanasios P. Liavas


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Joint Tensor Factorization and Outlying Slab Suppression with Applications


Jul 16, 2015
Xiao Fu, Kejun Huang, Wing-Kin Ma, Nicholas D. Sidiropoulos, Rasmus Bro


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