
LAPACK
 Referenced in 1648 articles
[sw00503]
 estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices...

MINOS
 Referenced in 442 articles
[sw05095]
 sparse LU factors of the basis matrix), automatic scaling of linear contraints, and automatic estimation...

spcov
 Referenced in 36 articles
[sw12271]
 spcov: Sparse Estimation of a Covariance Matrix. Provides a covariance estimator for multivariate normal data ... Bien, J., and Tibshirani, R. (2011), ”Sparse Estimation of a Covariance Matrix,” Biometrika...

LSQR
 Referenced in 372 articles
[sw00530]
 where the matrix A is large and sparse. The method is based on the bidiagonalization ... Reliable stopping criteria are derived, along with estimates of standard errors...

hgam
 Referenced in 73 articles
[sw11201]
 asymptotic optimality of our estimator for high dimensional but sparse additive models. Finally, an adaptive...

elasticnet
 Referenced in 14 articles
[sw08181]
 package elasticnet: ElasticNet for Sparse Estimation and Sparse PCA. This package provides functions ... also provides functions for estimating sparse Principal Components. The Lasso solution paths can be computed...

flare
 Referenced in 19 articles
[sw12406]
 SQRT Lasso, Lq Lasso for estimating high dimensional sparse linear model. We adopt the alternating ... further acceleration. Besides the sparse linear model estimation, we also provide the extension of these ... Lasso variants to sparse Gaussian graphical model estimation including TIGER and CLIME using either ... computation is memoryoptimized using the sparse matrix output...

camel
 Referenced in 10 articles
[sw14318]
 Lasso and Calibrated Dantzig Selector for estimating sparse linear models; (2) Calibrated Multivariate Regression ... estimating sparse multivariate linear models; (3) Tiger, Calibrated Clime for estimating sparse Gaussian graphical models...

Adam
 Referenced in 400 articles
[sw22205]
 stochastic objective functions, based on adaptive estimates of lowerorder moments. The method is straightforward ... objectives and problems with very noisy and/or sparse gradients. The hyperparameters have intuitive interpretations...

QUIC
 Referenced in 25 articles
[sw11795]
 QUIC: quadratic approximation for sparse inverse covariance estimation. The ℓ 1 regularized Gaussian maximum likelihood ... estimator (MLE) has been shown to have strong statistical guarantees in recovering a sparse inverse...

softImpute
 Referenced in 63 articles
[sw12263]
 with the current estimate. For large matrices there is a special sparsematrix class named...

SuperLU
 Referenced in 179 articles
[sw00930]
 library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high ... also provided to equilibrate the system, estimate the condition number, calculate the relative backward error...

sparseLM
 Referenced in 5 articles
[sw04810]
 sparseLM : Sparse LevenbergMarquardt nonlinear least squares in C/C++ Several estimation problems in vision involve ... parameters to be estimated, which leads to minimization problems possessing a sparse structure. Taking advantage ... this sparseness during minimization is known to achieve enormous computational savings. Nevertheless, since the underlying ... results from its application to important sparse estimation problems in geometric vision...

FASTCLIME
 Referenced in 12 articles
[sw10889]
 linear programming and largescale precision matrix estimation in R. We develop an R package ... implement an important sparse precision matrix estimation method called CLIME (Constrained L 1 Minimization Estimator...

SuperLUDIST
 Referenced in 87 articles
[sw00002]
 library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high ... also provided to equilibrate the system, estimate the condition number, calculate the relative backward error...

msgl
 Referenced in 10 articles
[sw26552]
 regression with sparse group lasso penalty. Simultaneous feature selection and parameter estimation for classification. Suitable ... algorithm computes the sparse group lasso penalized maximum likelihood estimate. Use of parallel computing...

SVMlight
 Referenced in 262 articles
[sw04076]
 they are conservatively biased. Almost unbiased estimates provides leaveoneout testing. SVMlight exploits that ... applications. Many tasks have the property of sparse instance vectors. This implementation makes...

TAUCS
 Referenced in 31 articles
[sw04014]
 Matrix Input/Output. Routines to read and write sparse matrices using a simple file format with ... wallclock and CPU time), physicalmemory estimator, and logging...

PSICOV
 Referenced in 5 articles
[sw17010]
 precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments. Motivation ... which introduces the use of sparse inverse covariance estimation to the problem of protein contact...

admixture
 Referenced in 6 articles
[sw26449]
 implementation of ADMIXTURE that computes maximumlikelihood estimates of the admixture proportions and population allele ... optimization (Mstep) that encourages sparse admixture estimates. This code was tested using R version...