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Matrix regularization
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31	Efficient Numerical Methods for Least-Norm Regularization D.C. S ORENSEN∗ M. ROJAS† March 17, 2010 Add to Reading List Source URL: www.caam.rice.edu Language: English - Date: 2010-03-18 11:58:00 Matrix theory Abstract algebra Numerical linear algebra Mathematical physics Eigenvalues and eigenvectors Singular value decomposition Vector space Spectral theory of ordinary differential equations Algebra Linear algebra Mathematics
32	Covariance regularization by thresholding Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2009-03-21 03:07:14 Matrices Covariance and correlation Summary statistics Numerical linear algebra Algebra of random variables Covariance Estimation of covariance matrices Matrix norm Cholesky decomposition Statistics Algebra Mathematics
33	The Solution Path of the Generalized Lasso Ryan J. Tibshirani ∗ Jonathan Taylor Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-09-27 10:21:03 Mathematical optimization Mathematics Linear algebra Convex optimization Tikhonov regularization Least-angle regression Linear regression Matrix Lasso Statistics Estimation theory Regression analysis
34	Min-wise hashing for large-scale regression and classification with sparse data arXiv:1308.1269v1 [math.ST] 6 Aug[removed]Rajen D. Shah and Nicolai Meinshausen Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2013-08-22 09:30:09 Ordinary least squares Logistic regression Principal component analysis Dummy variable Tikhonov regularization Matrix Least squares Polynomial regression Statistics Regression analysis Linear regression
35	Efficient Numerical Methods for Least-Norm Regularization D.C. Sorensen I Add to Reading List Source URL: www.caam.rice.edu Language: English - Date: 2010-05-20 09:39:55 Matrix theory Functional analysis Numerical linear algebra Singular value decomposition Karush–Kuhn–Tucker conditions Algebra Linear algebra Mathematics
36	IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 57, NO. 6, JUNE[removed]Simultaneous Support Recovery in High Dimensions: Benefits and Perils of Block `1=` -Regularization Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2011-05-25 18:43:44 Estimation theory Machine learning Numerical linear algebra Regularization Linear regression Sparse approximation Matrix Tikhonov regularization Least squares Statistics Regression analysis Econometrics
37	Notation · {· · · } \|·\| Add to Reading List Source URL: amlbook.com Language: English - Date: 2014-10-09 00:34:07 Parametric statistics Estimation theory Machine learning Linear regression Regularization Degrees of freedom Hat matrix Statistics Regression analysis Econometrics
38	The huge Package for High-dimensional Undirected Graph Estimation in R Tuo Zhao Kathryn Roeder ‡ Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 12:08:53 Matrices Bayesian statistics Degree Graphical model Adjacency matrix Connectivity Regularization Dense graph Covariance matrix Statistics Graph theory Mathematics
39	Package ‘quadrupen’ July 2, 2014 Type Package Title Sparsity by Worst-Case Quadratic Penalties Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:11:23 Econometrics Estimation theory Regularization Parametric statistics Elastic net regularization Cross-validation Degrees of freedom Matrix Linear regression Statistics Regression analysis Machine learning
40	Adaptive change of basis in entropy-based moment closures for linear kinetic equations Graham W. Alldredge a,1,3,∗ Add to Reading List Source URL: www.ece.umd.edu Language: English - Date: 2013-08-27 17:45:06 Numerical integration Linear algebra Estimation theory Adaptive quadrature Mathematical optimization Gaussian quadrature BFGS method Hessian matrix Tikhonov regularization Mathematical analysis Mathematics Calculus

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