arXiv Machine Learning By Beno\^it Loucheur, P. -A. Absil, Michel Journ\'ee

Graph-Regularized Low-Rank Matrix Completion by Variable Projection

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arXiv:2607. 09546v1 Announce Type: new Abstract: We address the low-rank matrix completion problem by incorporating graph regularization into the existing Riemannian Trust-Region Matrix Completion (RTRMC) framework.

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arXiv Machine Learning
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Retraction-Based Gradient Projection Algorithms on Manifolds

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N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion

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Riemannian Optimization for Hadamard Products of Low-Rank Matrices

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