Search for tag: "multivariate"

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 6 plays

ORIE Colloquium on 2/6/2014 - Po-Ling Loh (Cal-Berkeley): Nonconvex Methods for High-Dimensional Regression with Noisy and Missing Data

Thursday, February 6, 2014 at 4:15pm Frank H. T. Rhodes Hall, 253 ORIE Colloquium: Po-Ling Loh (Cal-Berkeley) - Nonconvex Methods for High-Dimensional Regression with Noisy and Missing Data Noisy…

From  E. Cornelius 62 plays

ORIE Colloquium, 2013-02-05 - Guy Lebanon: Stochastic m-Estimators and the Tradeoff Between Statistical Accuracy and Computational Complexity

ORIE Colloquium: Guy Lebanon (Georgia Tech) - Stochastic m-Estimators and the Tradeoff Between Statistical Accuracy and Computational Complexity Tuesday, February 5, 2013 at 4:15pm Frank H. T.…

From  E. Cornelius 20 plays

CAM Colloquium, 2015-02-20 - Ioannis Papastathopoulos: High-dimensional Inference for Multivariate Extremes

From  E. Cornelius 4 plays