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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

CAM Colloquium, 2014-12-05 - Retsef Levi: Assortment Optimization for Non-parametric Choice Models

From  E. Cornelius 17 plays