SUPPLEMENT TO “MINIMAX ESTIMATION IN SPARSE CANONICAL CORRELATION ANALYSIS” BY Chao Gao1 , Zongming Ma2 , Zhao Ren1 and Harrison H. Zhou1 1 Yale University and 2 University of Pennsylvania

Source URL: www.stat.yale.edu

Author manuscript, published in "NeuroImage" Morphometry of anatomical shape complexes with dense deformations and sparse parameters Stanley Durrlemana,b,c,d,e , Marcel Prastawaf , Nicolas Charong , Julie R. Korenbergh

Source URL: www.sci.utah.edu

Submitted to the Annals of Statistics OPTIMAL RATES OF CONVERGENCE FOR SPARSE COVARIANCE MATRIX ESTIMATION By T. Tony Cai

Source URL: www.stat.yale.edu

Sparse Stabilization of Dynamical Systems Driven by Attraction and Avoidance Forces Mattia Bongini∗ and Massimo Fornasier† September 11, 2013 Abstract

Source URL: www-m15.ma.tum.de

Sparse recovery without incoherence Rachel Ward University of Texas at Austin February 2013

Source URL: www.ma.utexas.edu

Sparse Online Learning via Truncated Gradient John Langford Yahoo! Research

Source URL: hunch.net

• Machine learning
• Computational statistics
• Convex optimization
• Mathematical optimization
• Statistical classification
• Support vector machine
• Stochastic gradient descent
• Lasso
• Vowpal Wabbit
• Least squares
• Artificial neural network
• Gradient descent

Category: Learning Algorithms Preference: Oral Large-Scale Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery

Source URL: snowbird.djvuzone.org

Submitted to the Annals of Statistics MINIMAX ESTIMATION IN SPARSE CANONICAL CORRELATION ANALYSIS By Chao Gao,

Source URL: www.stat.yale.edu

SUPPLEMENT TO “RATE-OPTIMAL POSTERIOR CONTRACTION FOR SPARSE PCA” By Chao Gao and Harrison H. Zhou Yale University In this text, we present proofs of Proposition 2.1, Lemma 5.1, Lemma 5.8, Lemma 5.10, Theorem 4.2, Th

Source URL: www.stat.yale.edu

1 Robust Support Recovery Using Sparse Compressive Sensing Matrices ∗

Source URL: www.ece.umn.edu