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Implicit Regularization in Matrix Factorization

Information Theory and Applications Workshop, 2017
We study implicit regularization when optimizing an underdetermined quadratic objective over a matrix $X$ with gradient descent on a factorization of X.
Suriya Gunasekar   +4 more
semanticscholar   +1 more source

Polar Factorization and Monotone Rearrangement of Vector-Valued Functions

, 1991
Given a probability space (X, p) and a bounded domain R in Rd equipped with the Lebesgue measure 1 . I (normalized so that 10 I = I ), it is shown (under additional technical assumptions on X and Q) that for every vector-valued function u E Lp(X, p; Rd ...
Y. Brenier
semanticscholar   +1 more source

Matrix Factorization Techniques for Recommender Systems

Computer, 2009
Y. Koren, Robert M. Bell, C. Volinsky
semanticscholar   +1 more source

Integer factorization using stochastic magnetic tunnel junctions

Nature, 2019
W. A. Borders   +5 more
semanticscholar   +1 more source

Convolutional Matrix Factorization for Document Context-Aware Recommendation

ACM Conference on Recommender Systems, 2016
Donghyun Kim   +4 more
semanticscholar   +1 more source

Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration

IEEE Transactions on Geoscience and Remote Sensing, 2016
Wei He   +3 more
semanticscholar   +1 more source

Field-aware Factorization Machines for CTR Prediction

ACM Conference on Recommender Systems, 2016
Yu-Chin Juan   +3 more
semanticscholar   +1 more source

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