Riemannian gradient descent methods for graph-regularized matrix completion

Author:

Dong ShuyuORCID,Absil P.-A.ORCID,Gallivan K.A.ORCID

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Fonds De La Recherche Scientifique - FNRS

Publisher

Elsevier BV

Subject

Discrete Mathematics and Combinatorics,Geometry and Topology,Numerical Analysis,Algebra and Number Theory

Reference60 articles.

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2. Laplacian eigenmaps for dimensionality reduction and data representation;Belkin;Neural Comput.,2003

3. Global rates of convergence for nonconvex optimization on manifolds;Boumal;IMA J. Numer. Anal.,2019

4. Manopt, a Matlab toolbox for optimization on manifolds;Boumal;J. Mach. Learn. Res.,2014

5. Exact low-rank matrix completion via convex optimization;Candès,2008

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2. Signal Design with Minimum ISL and WISL Using Manifold-Based Optimization Algorithms;Iranian Journal of Science and Technology, Transactions of Electrical Engineering;2023-06-29

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