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DFC — Divide-and-Conquer Matrix Factorization

Divide-Factor-Combine (DFC) is a parallel divide-and-conquer framework for noisy matrix factorization problems, e.g., matrix completion and robust matrix factorization. DFC … Continue reading →

Tags: distributed machine learning, matrix factorization

Divide-and-Conquer Matrix Factorization

Lester Mackey, Ameet Talwalkar, Michael Jordan
Neural Information Processing Systems (NIPS), Jan. 2012.
Tags: Big Data, matrix factorization


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