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...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron:	Meinshausen, N, Yu, B
Fformat:	Journal article
Iaith:	English
Cyhoeddwyd:	2008

Eitemau Tebyg

High-dimensional graphs and variable selection with the Lasso
gan: Meinshausen, N, et al.
Cyhoeddwyd: (2006)

LASSO ISOtone for High Dimensional Additive Isotonic Regression
gan: Fang, Z, et al.
Cyhoeddwyd: (2010)

Relaxed Lasso.
gan: Meinshausen, N
Cyhoeddwyd: (2007)

Sparse representations of high dimensional neural data
gan: Sandeep K. Mody, et al.
Cyhoeddwyd: (2022-05-01)

LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI
gan: Asma Gulraiz, et al.
Cyhoeddwyd: (2022-03-01)

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

Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming
gan: Belloni, Alexandre, et al.
Cyhoeddwyd: (2011)

Square-root lasso: pivotal recovery of sparse signals via conic programming
gan: Bellini, A., et al.
Cyhoeddwyd: (2012)

Robust Adaptive Lasso method for parameter's estimation and variable selection in high-dimensional sparse models.
gan: Abdul Wahid, et al.
Cyhoeddwyd: (2017-01-01)

Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
gan: Vasileios Dimopoulos, et al.
Cyhoeddwyd: (2022-04-01)

Performance of LAD-LASSO and WLAD-LASSO on High Dimensional Regression in Handling Data Containing Outliers
gan: Septa Dwi Cahya, et al.
Cyhoeddwyd: (2022-10-01)

Robust temporal low‐rank representation for traffic data recovery via fused lasso
gan: Ruyong Mao, et al.
Cyhoeddwyd: (2021-02-01)

Robust Continuum Regression Study of LASSO Selection and WLAD LASSO on High-Dimensional Data Containing Outliers
gan: Nurmai Syaroh Daulay, et al.
Cyhoeddwyd: (2024-07-01)

Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent
gan: Jan Klosa, et al.
Cyhoeddwyd: (2020-09-01)

Discussion: A tale of three cousins: Lasso, L2Boosting and Dantzig
gan: Meinshausen, N, et al.
Cyhoeddwyd: (2008)

Multi-Task Learning for Compositional Data via Sparse Network Lasso
gan: Akira Okazaki, et al.
Cyhoeddwyd: (2022-12-01)

sparsegl: An R Package for Estimating Sparse Group Lasso
gan: Xiaoxuan Liang, et al.
Cyhoeddwyd: (2024-08-01)

Recovery of High-Dimensional Sparse Signals via -Minimization
gan: Shiqing Wang, et al.
Cyhoeddwyd: (2013-01-01)

Discussion of: Treelets--An adaptive multi-scale basis for sparse unordered data
gan: Meinshausen, N, et al.
Cyhoeddwyd: (2008)

Weaker Regularity Conditions and Sparse Recovery in High-Dimensional Regression
gan: Shiqing Wang, et al.
Cyhoeddwyd: (2014-01-01)

Sparse Partial Correlation Estimation With Scaled Lasso and Its GPU-Parallel Algorithm
gan: Younsang Cho, et al.
Cyhoeddwyd: (2023-01-01)

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

Study on the Sparse Sub-block Microwave Imaging Based on Lasso(In English)
gan: Xiang Yin, et al.
Cyhoeddwyd: (2013-09-01)

Sparse EEG/MEG source estimation via a group lasso.
gan: Michael Lim, et al.
Cyhoeddwyd: (2017-01-01)

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

Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data.
gan: Jongkwon Jo, et al.
Cyhoeddwyd: (2022-01-01)

Hi-LASSO: High-performance python and apache spark packages for feature selection with high-dimensional data
gan: Jongkwon Jo, et al.
Cyhoeddwyd: (2022-01-01)

A Modified Adaptive Sparse-Group LASSO Regularization for Optimal Portfolio Selection
gan: Somaya Sadik, et al.
Cyhoeddwyd: (2024-01-01)

Application of fused graphical lasso to statistical inference for multiple sparse precision matrices.
gan: Qiuyan Zhang, et al.
Cyhoeddwyd: (2024-01-01)

Consensual Regression of Lasso-Sparse PLS models for Near-Infrared Spectra of Food
gan: Lei-Ming Yuan, et al.
Cyhoeddwyd: (2022-10-01)

Sparse group LASSO constraint eigenphone speaker adaptation method for speech recognition
gan: Dan QU, et al.
Cyhoeddwyd: (2015-09-01)

Sparse group LASSO constraint eigenphone speaker adaptation method for speech recognition
gan: Dan QU, et al.
Cyhoeddwyd: (2015-09-01)

LASSO type penalized spline regression for binary data
gan: Muhammad Abu Shadeque Mullah, et al.
Cyhoeddwyd: (2021-04-01)

Research Based on High-Dimensional Fused Lasso Partially Linear Model
gan: Aifen Feng, et al.
Cyhoeddwyd: (2023-06-01)

Sequential profile Lasso for ultra-high-dimensional partially linear models
gan: Yujie Li, et al.
Cyhoeddwyd: (2017-07-01)

Lasso regularization for left-censored Gaussian outcome and high-dimensional predictors
gan: Perrine Soret, et al.
Cyhoeddwyd: (2018-12-01)

Sparse Signal Representation, Sampling, and Recovery in Compressive Sensing Frameworks
gan: Irfan Ahmed, et al.
Cyhoeddwyd: (2022-01-01)

Orders of coupling representations as a versatile framework for machine learning from sparse data in high-dimensional spaces
gan: Sergei Manzhos, et al.
Cyhoeddwyd: (2023-12-01)

Restructuring Sparse High Dimensional Data for Effective Retrieval
gan: Isbell, Charles, et al.
Cyhoeddwyd: (2004)

De-Biased Graphical Lasso for High-Frequency Data
gan: Yuta Koike
Cyhoeddwyd: (2020-04-01)