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ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank Models

Principal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…

From  E. Cornelius 4 plays

ORIE Colloquium, 2014-05-02 - Philippe Rigollet: The Statistical Price to Pay for Computational Efficiency in Sparse PCA

Friday, May 2 2:20 p.m. – Presentation – 253 Rhodes Hall Philippe Rigollet The statistical price to pay for computational efficiency in sparse PCA Computational limitations of…

From  E. Cornelius 56 plays