Matrix Factorization with Side and Higher Order Information
arXiv: Machine Learning, Volume abs/1705.02047, 2017.
The problem of predicting unobserved entries of a partially observed matrix has found wide applicability in several areas, such as recommender systems, computational biology, and computer vision. Many scalable methods with rigorous theoretical guarantees have been developed for algorithms where the matrix is factored into low-rank compone...More
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