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ORIE 9000 Colloquium - Madeleine Udell:… duration 1 hour 5 minutes ORIE 9000 Colloquium - Madeleine Udell:… ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank Models	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… optimization algorithms and methods +79 More From E. Cornelius 8 plays
CAM Colloquium, 2016-09-23 - Madeleine Udell:… duration 1 hour 7 minutes CAM Colloquium, 2016-09-23 - Madeleine Udell:… CAM Colloquium, 2016-09-23 - Madeleine Udell: Generalized Low Rank Models: Algorithms and Applications	CAM Colloquium, 2016-09-23 - Madeleine Udell: Generalized Low Rank Models: Algorithms and Applications Abstract: In this talk, we introduce an optimization-based framework called Generalized Low Rank Models designed to uncover structure in big messy data sets. These models generalize… implication +44 More From E. Cornelius 22 plays

ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank Models