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Monday, 08/02/2010
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Global Regularization Under Constraints
Patrick Laurie Davies, University of Duisburg-Essen
8:35 AM
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Robust Principal Component Analysis?
Emmanuel Candes, Stanford University; Xiaodong Li, Stanford University; Yi Ma, Microsoft Research Asia; John Wright, Microsoft Research Asia
9:05 AM
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Sparse Multivariate Regression with Covariance Estimation
Adam Rothman, University of Michigan; Elizaveta Levina, University of Michigan; Ji Zhu, University of Michigan
9:35 AM
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Spectral Regularization Algorithms for Learning Large Incomplete Matrices
Rahul Mazumder, Stanford University; Trevor Hastie, Stanford University; Rob Tibshirani, Stanford University
2:05 PM
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Wednesday, 08/04/2010
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On Estimation of Large Covariance Matrices
Tony Cai, University of Pennsylvania
8:35 AM
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Regularization for Stationary Multivariate Time Series
Yan Sun, University of Cincinnati; Xiaodong Lin, Rutgers University
9:05 AM
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Regularization, Sparsity, and Rank Restrictions in High-Dimensional Regression
Alan Julian Izenman, Temple University
2:05 PM
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A Unified Framework for High-Dimensional Analysis of M-estimators with Decomposable Regularizers
Pradeep Ravikumar, The University of Texas at Austin; Sahand Negahban, University of California, Berkeley; Martin Wainwright, University of California, Berkeley; Bin Yu, University of California, Berkeley
2:30 PM
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