Matrix Completion via Factorizing Polynomials

4 May 2017Vatsal ShahNikhil RaoWeicong Ding

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 components, and embeddings are learned for the row and column entities... (read more)

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