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698 | Thu, 8/13/2015, 10:30 AM - 12:20 PM | CC-4C4 | |
Methods for Dimension Reduction — Contributed Papers | |||
Section on Statistical Learning and Data Mining , SSC | |||
Chair(s): Carla Inclan, Charles River Associates | |||
10:35 AM | Bagging PCA: a robust approach to principal component analysis — Jiaxi Liang ; Shoja'eddin Chenouri, University of Waterloo ; Christopher Small, University of Waterloo | ||
10:50 AM | Generalized Principal Component Analysis — Andrew Landgraf, The Ohio State University ; Yoonkyung Lee, The Ohio State University | ||
11:05 AM | Task-Driven Dimension Reduction in the Presence of Nuisance Variables — David Shaw ; Aswin Sankanarayanan, Carnegie Mellon University ; Rama Chellappa, University of Maryland | ||
11:20 AM | Selecting the Number of Principal Components: Estimation of the True Rank of a Noisy Matrix — Yunjin Choi, Stanford University ; Rob Tibshirani, Stanford University ; Jonathan Taylor, Stanford University | ||
11:35 AM | Independent Component Analysis in the Presence of Correlated Gaussian Noise — Rajesh Nandy, University of North Texas Health Science Center | ||
11:50 AM | Matrix-Variate Regressions and Envelope Models — Shanshan Ding, University of Delaware ; Dennis Cook, University of Minnesota | ||
12:05 PM | Floor Discussion |
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