Flexible Low-Rank Statistical Modeling with Side Information

20 Aug 2013 William Fithian Rahul Mazumder

We propose a general framework for reduced-rank modeling of matrix-valued data. By applying a generalized nuclear norm penalty we can directly model low-dimensional latent variables associated with rows and columns... (read more)

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