Lasso-type recovery of sparse representations for high-dimensional data

Lasso-type recovery of sparse representations for high-dimensional data

The Lasso is an attractive technique for regularization and variable selection for high-dimensional data, where the number of predictor variables $p_n$ is potentially much larger than the number of samples $n$. However, it was recently discovered that the sparsity pattern of the Lasso estimator can...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों:	Meinshausen, N, Yu, B
स्वरूप:	Journal article
भाषा:	English
प्रकाशित:	2008

समान संसाधन

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LASSO ISOtone for High Dimensional Additive Isotonic Regression
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प्रकाशित: (2010)

Relaxed Lasso.
द्वारा: Meinshausen, N
प्रकाशित: (2007)

Sparse representations of high dimensional neural data
द्वारा: Sandeep K. Mody, और अन्य
प्रकाशित: (2022-05-01)

LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI
द्वारा: Asma Gulraiz, और अन्य
प्रकाशित: (2022-03-01)

A note on the Lasso for Gaussian graphical model selection
द्वारा: Meinshausen, N
प्रकाशित: (2008)

Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming
द्वारा: Belloni, Alexandre, और अन्य
प्रकाशित: (2011)

Square-root lasso: pivotal recovery of sparse signals via conic programming
द्वारा: Bellini, A., और अन्य
प्रकाशित: (2012)

Robust Adaptive Lasso method for parameter's estimation and variable selection in high-dimensional sparse models.
द्वारा: Abdul Wahid, और अन्य
प्रकाशित: (2017-01-01)

Performance of LAD-LASSO and WLAD-LASSO on High Dimensional Regression in Handling Data Containing Outliers
द्वारा: Septa Dwi Cahya, और अन्य
प्रकाशित: (2022-10-01)

Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
द्वारा: Vasileios Dimopoulos, और अन्य
प्रकाशित: (2022-04-01)

Robust temporal low‐rank representation for traffic data recovery via fused lasso
द्वारा: Ruyong Mao, और अन्य
प्रकाशित: (2021-02-01)

Robust Continuum Regression Study of LASSO Selection and WLAD LASSO on High-Dimensional Data Containing Outliers
द्वारा: Nurmai Syaroh Daulay, और अन्य
प्रकाशित: (2024-07-01)

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प्रकाशित: (2008)

Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent
द्वारा: Jan Klosa, और अन्य
प्रकाशित: (2020-09-01)

Multi-Task Learning for Compositional Data via Sparse Network Lasso
द्वारा: Akira Okazaki, और अन्य
प्रकाशित: (2022-12-01)

sparsegl: An R Package for Estimating Sparse Group Lasso
द्वारा: Xiaoxuan Liang, और अन्य
प्रकाशित: (2024-08-01)

Recovery of High-Dimensional Sparse Signals via -Minimization
द्वारा: Shiqing Wang, और अन्य
प्रकाशित: (2013-01-01)

Genetic Variants Detection Based on Weighted Sparse Group Lasso
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प्रकाशित: (2020-03-01)

Identification of hospital cost drivers using sparse group lasso.
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प्रकाशित: (2018-01-01)

Sparse Reconstruction Based on the ADMM and Lasso-LSQR for Bearings Vibration Signals
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प्रकाशित: (2017-01-01)

Extended graphical lasso for multiple interaction networks for high dimensional omics data
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प्रकाशित: (2021-10-01)

Discussion of: Treelets--An adaptive multi-scale basis for sparse unordered data
द्वारा: Meinshausen, N, और अन्य
प्रकाशित: (2008)

Weaker Regularity Conditions and Sparse Recovery in High-Dimensional Regression
द्वारा: Shiqing Wang, और अन्य
प्रकाशित: (2014-01-01)

Adaptive CoCoLasso for High-Dimensional Measurement Error Models
द्वारा: Qin Yu
प्रकाशित: (2025-01-01)

Sparse Partial Correlation Estimation With Scaled Lasso and Its GPU-Parallel Algorithm
द्वारा: Younsang Cho, और अन्य
प्रकाशित: (2023-01-01)

Study on the Sparse Sub-block Microwave Imaging Based on Lasso(In English)
द्वारा: Xiang Yin, और अन्य
प्रकाशित: (2013-09-01)

Sparse EEG/MEG source estimation via a group lasso.
द्वारा: Michael Lim, और अन्य
प्रकाशित: (2017-01-01)

The Higher-Order of Adaptive Lasso and Elastic Net Methods for Classification on High Dimensional Data
द्वारा: Autcha Araveeporn
प्रकाशित: (2021-05-01)

Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data.
द्वारा: Jongkwon Jo, और अन्य
प्रकाशित: (2022-01-01)

Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data
द्वारा: Jongkwon Jo, और अन्य
प्रकाशित: (2022-01-01)

A Modified Adaptive Sparse-Group LASSO Regularization for Optimal Portfolio Selection
द्वारा: Somaya Sadik, और अन्य
प्रकाशित: (2024-01-01)

Consensual Regression of Lasso-Sparse PLS models for Near-Infrared Spectra of Food
द्वारा: Lei-Ming Yuan, और अन्य
प्रकाशित: (2022-10-01)

Application of fused graphical lasso to statistical inference for multiple sparse precision matrices.
द्वारा: Qiuyan Zhang, और अन्य
प्रकाशित: (2024-01-01)

Sparse group LASSO constraint eigenphone speaker adaptation method for speech recognition
द्वारा: Dan QU, और अन्य
प्रकाशित: (2015-09-01)

Sparse group LASSO constraint eigenphone speaker adaptation method for speech recognition
द्वारा: Dan QU, और अन्य
प्रकाशित: (2015-09-01)

LASSO type penalized spline regression for binary data
द्वारा: Muhammad Abu Shadeque Mullah, और अन्य
प्रकाशित: (2021-04-01)

Research Based on High-Dimensional Fused Lasso Partially Linear Model
द्वारा: Aifen Feng, और अन्य
प्रकाशित: (2023-06-01)

Sequential profile Lasso for ultra-high-dimensional partially linear models
द्वारा: Yujie Li, और अन्य
प्रकाशित: (2017-07-01)

Lasso regularization for left-censored Gaussian outcome and high-dimensional predictors
द्वारा: Perrine Soret, और अन्य
प्रकाशित: (2018-12-01)