Keyword

sparse estimation

Description: Statistical methods for estimating models or signals under the assumption that only a small number of parameters or components are nonzero.

Primary topic: Statistical Methods and Inference (60%)

OpenAlex ID: keywords/sparse-estimation

Regression Shrinkage and Selection Via the Lasso

1996 · Robert Tibshirani · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 51,405

Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

2001 · Jianqing Fan, Runze Li · Journal of the American Statistical Association · 8,918

Regression Shrinkage and Selection via The Lasso: A Retrospective

2011 · Robert Tibshirani · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 3,593

Statistical Learning with Sparsity

2015 · Trevor Hastie, Robert Tibshirani, et al. · Chapman & Hall/CRC eBooks · 2,533

Simultaneous analysis of Lasso and Dantzig selector

2009 · Peter J. Bickel, Ya’acov Ritov, et al. · The Annals of Statistics · 2,410

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Model selection and estimation in the Gaussian graphical model

2007 · M. Yuan, Y. Lin · Biometrika · 1,632

A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers

2011 · Sahand N. Negahban , Pradeep Ravikumar , Martin J. Wainwright , Bin Yu · 1,098

On the adaptive elastic-net with a diverging number of parameters

2009 · Hui Zou, Hao Helen Zhang · The Annals of Statistics · 850

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Group lasso with overlap and graph lasso

2009 · Laurent Jacob, Guillaume Obozinski, et al. · International Conference on Machine Learning · 842

Optimization with Sparsity-Inducing Penalties

2012 · Bach Francis, Rodolphe Jenatton, et al. · Foundations and Trends® in Machine Learning · 759

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SPICE: A Sparse Covariance-Based Estimation Method for Array Processing

2010 · Petre Stoica, Prabhu Babu, et al. · IEEE Transactions on Signal Processing · 616

Optimization with Sparsity-Inducing Penalties

2011 · Francis Bach · now publishers, Inc. eBooks · 609

Statistical physics of inference: thresholds and algorithms

2016 · Lenka Zdeborová, Florent Krzakala · Advances In Physics · 443

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Joint estimation of multiple graphical models

2011 · J. Guo, E. Levina, et al. · Biometrika · 433

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L 1/2 regularization

2010 · ZongBen Xu, Hai Zhang, et al. · Science China Information Sciences · 424

Compressed Sensing for Wireless Communications: Useful Tips and Tricks

2017 · Choi, Jun Won, Shim, Byong Hyo, et al. · The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry) · 351

Sparse Modeling for Image and Vision Processing

2014 · Julien Mairal · now publishers, Inc. eBooks · 328

Strong oracle optimality of folded concave penalized estimation

2014 · Jianqing Fan, Lingzhou Xue, et al. · The Annals of Statistics · 315

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A General Theory of Concave Regularization for High-Dimensional Sparse Estimation Problems

2012 · Cun-Hui Zhang, Tong Zhang · Statistical Science · 296

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A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers

2012 · Sahand N. Negahban, Pradeep Ravikumar, et al. · Statistical Science · 287

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SLOPE—Adaptive variable selection via convex optimization

2015 · Małgorzata Bogdan, Ewout van den Berg, et al. · The Annals of Applied Statistics · 278

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The LASSO Risk for Gaussian Matrices

2011 · Mohsen Bayati, Andrea Montanari · IEEE Transactions on Information Theory · 277

Least angle and ℓ1 penalized regression: A review

2008 · Tim Hesterberg, Nam Hee Choi, et al. · Statistics Surveys · 270

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Generalized Double Pareto Shrinkage.

2013 · Artin Armagan, David B Dunson, et al. · PubMed · 261

Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning

2015 · Julien Mairal · SIAM Journal on Optimization · 232

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Works count: 2,005

Citation count: 95,020