Statistical Learning with Sparsity: The Lasso and Generalizations

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Unknown venue

• Publication date

  2015-05-07

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1111/insr.12167
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Graphical Models In Applied Multivariate Statistics

  2016cited by this paper
• Learning the Structure of Mixed Graphical Models

  2015cited by this paper
• Selecting the number of principal components: estimation of the true rank of a noisy matrix

  2014influential reference
• Sparse Modeling: Theory, Algorithms, and Applications

  2014cited by this paper
• A significance test for forward stepwise model selection

  2014cited by this paper
• Statistics for High-Dimensional Data: Methods, Theory and Applications, Peter Buhlman and Sara van de Geer著, Springer, 2011年6月, 558pp., 価格 114,99〓, ISBN 978-3642201912

  2014cited by this paper
• Post-selection adaptive inference for Least Angle Regression and the Lasso

  2014influential reference
• Sparsistency and agnostic inference in sparse PCA

  2014cited by this paper
• Alternating Minimization for Mixed Linear Regression

  2014cited by this paper
• Lower bounds on the performance of polynomial-time algorithms for sparse linear regression

  2014cited by this paper
• Probabilistic Graphical Models

  2014cited by this paper
• Sequential selection procedures and false discovery rate control

  2013cited by this paper
• Exact post-selection inference, with application to the lasso

  2013cited by this paper
• Adaptive testing for the graphical lasso

  2013cited by this paper
• Adaptive piecewise polynomial estimation via trend filtering

  2013cited by this paper
• A Sparse-Group Lasso

  2013cited by this paper
• High-Dimensional Mixed Graphical Models

  2013cited by this paper
• Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization

  2013cited by this paper
• Coordinate descent algorithm for covariance graphical lasso

  2013cited by this paper
• A SIGNIFICANCE TEST FOR THE LASSO.

  2013cited by this paper
• Confidence intervals and hypothesis testing for high-dimensional regression

  2013cited by this paper
• Hypothesis Testing in High-Dimensional Regression Under the Gaussian Random Design Model: Asymptotic Theory

  2013cited by this paper
• On model selection consistency of M-estimators with geometrically decomposable penalties

  2013cited by this paper
• Tests in adaptive regression via the Kac-Rice formula

  2013cited by this paper
• On asymptotically optimal confidence regions and tests for high-dimensional models

  2013cited by this paper
• Computational Lower Bounds for Sparse PCA

  2013influential reference
• Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA

  2013cited by this paper
• Inference in adaptive regression via the Kac–Rice formula

  2013cited by this paper
• Block Regularized Lasso for Multivariate Multi-Response Linear Regression

  2013cited by this paper
• Markov Random Fields in Statistics

  2012cited by this paper
• STANDARDIZATION AND THE GROUP LASSO PENALTY.

  2012cited by this paper
• Proximal Newton-Type Methods for Minimizing Composite Functions

  2012cited by this paper
• Lasso screening rules via dual polytope projection

  2012cited by this paper
• Statistical significance in high-dimensional linear models

  2012cited by this paper
• MINIMAX BOUNDS FOR SPARSE PCA WITH NOISY HIGH-DIMENSIONAL DATA.

  2012cited by this paper
• Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection

  2012cited by this paper
• A LASSO FOR HIERARCHICAL INTERACTIONS.

  2012cited by this paper
• The Lasso Problem and Uniqueness

  2012cited by this paper
• Minimax Rates of Estimation for Sparse PCA in High Dimensions

  2012cited by this paper
• Augmented sparse principal component analysis for high dimensional data

  2012cited by this paper
• Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties

  2011cited by this paper
• Penalized classification using Fisher's linear discriminant

  2011cited by this paper
• Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions

  2011cited by this paper
• Statistical Applications in Genetics and Molecular Biology Quantifying the Association between Gene Expressions and DNA-Markers by Penalized Canonical Correlation Analysis

  2011cited by this paper
• Confidence Intervals for Low-Dimensional Parameters With High-Dimensional Data

  2011cited by this paper
• Degrees of freedom in lasso problems

  2011cited by this paper
• The Graphical Lasso: New Insights and Alternatives

  2011cited by this paper
• Sparse Principal Component Analysis and Iterative Thresholding

  2011cited by this paper
• Robust Matrix Decomposition With Sparse Corruptions

  2011cited by this paper
• SparseNet: Coordinate Descent With Nonconvex Penalties

  2011cited by this paper
• Truncated power method for sparse eigenvalue problems

  2011cited by this paper
• New Insights and Faster Computations for the Graphical Lasso

  2011cited by this paper
• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

  2011influential reference
• Statistical Applications in Genetics and Molecular Biology Pre-validation and inference in microarrays

  2011cited by this paper
• Building high-level features using large scale unsupervised learning

  2011cited by this paper
• Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent.

  2011cited by this paper
• The Bootstrap and Markov-Chain Monte Carlo

  2011cited by this paper
• Optimization with Sparsity-Inducing Penalties (Foundations and Trends(R) in Machine Learning)

  2011cited by this paper
• Fast global convergence of gradient methods for high-dimensional statistical recovery

  2011cited by this paper
• New and Improved Johnson-Lindenstrauss Embeddings via the Restricted Isometry Property

  2010cited by this paper
• SPARSITY IN MULTIPLE KERNEL LEARNING

  2010cited by this paper
• High-dimensional Ising model selection using ℓ1-regularized logistic regression

  2010cited by this paper
• Sparse Estimation of a Covariance Matrix

  2010influential reference
• Nearly unbiased variable selection under minimax concave penalty

  2010cited by this paper
• Introduction to the non-asymptotic analysis of random matrices

  2010cited by this paper
• Applications of the lasso and grouped lasso to the estimation of sparse graphical models

  2010cited by this paper
• Sparse CCA using a Lasso with positivity constraints

  2010cited by this paper
• Community extraction for social networks

  2010cited by this paper
• Safe Feature Elimination in Sparse Supervised Learning

  2010cited by this paper
• Restricted strong convexity and weighted matrix completion: Optimal bounds with noise

  2010cited by this paper
• A Framework for Feature Selection in Clustering

  2010cited by this paper
• Outlier Detection Using Nonconvex Penalized Regression

  2010cited by this paper
• The solution path of the generalized lasso

  2010cited by this paper
• Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming

  2010cited by this paper
• Optimal selection of reduced rank estimators of high-dimensional matrices

  2010cited by this paper
• The MM Alternative to EM

  2010cited by this paper
• Latent variable graphical model selection via convex optimization

  2010influential reference
• Why Does Unsupervised Pre-training Help Deep Learning?

  2010cited by this paper
• Biclustering via Sparse Singular Value Decomposition

  2010cited by this paper
• Spectral Regularization Algorithms for Learning Large Incomplete Matrices

  2010cited by this paper
• A Dirty Model for Multi-task Learning

  2010cited by this paper
• Nuclear norm penalization and optimal rates for noisy low rank matrix completion

  2010cited by this paper
• Robust PCA via Outlier Pursuit

  2010cited by this paper
• Regularization Paths for Generalized Linear Models via Coordinate Descent.

  2010cited by this paper
• Sparse Canonical Correlation Analysis with Application to Genomic Data Integration

  2009cited by this paper
• A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

  2009cited by this paper
• Minimax Rates of Estimation for High-Dimensional Linear Regression Over q -Balls

  2009cited by this paper
• The Benefit of Group Sparsity

  2009cited by this paper
• Matrix Completion With Noise

  2009cited by this paper
• Estimation of (near) low-rank matrices with noise and high-dimensional scaling

  2009influential reference
• Matrix completion from a few entries

  2009cited by this paper
• Recovering Low-Rank Matrices From Few Coefficients in Any Basis

  2009cited by this paper
• Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness

  2009cited by this paper
• A Path Algorithm for the Fused Lasso Signal Approximator

  2009influential reference
• Estimation of high-dimensional low-rank matrices

  2009cited by this paper
• On the conditions used to prove oracle results for the Lasso

  2009cited by this paper
• Robust principal component analysis?

  2009cited by this paper
• A Simpler Approach to Matrix Completion

  2009cited by this paper
• Matrix Completion from Noisy Entries

  2009cited by this paper
• A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis.

  2009cited by this paper

• Learning a Stochastic Differential Equation Model of Tropical Cyclone Intensification from Reanalysis and Observational Data

  2026cites this paper
• Prevalence, medication use, and health care utilization in pediatric primary headache: a school-based cross-sectional study

  2026cites this paper
• Machine learning-based multimodal biomarkers enable accurate diagnosis and early detection of pancreatic ductal adenocarcinoma

  2026cites this paper
• Variational Deep Alliance: A Generative Auto-Encoding Approach to Longitudinal Data Analysis

  2026cites this paper
• Correction of Pooling Matrix Mis-specifications in Compressed Sensing Based Group Testing

  2026cites this paper
• Intraoperative opioid infusion versus balanced opioid-sparing approach on the incidence of chronic postsurgical pain and inpatient opioid consumption in children undergoing posterior spinal fusion surgery for adolescent idiopathic scoliosis: a 12-year retrospective observational cohort study.

  2026cites this paper
• On Convex Clustering: Convexity, Bounding Balls and Characteristics

  2026cites this paper
• Robust maximum hands-off optimal control: existence, maximum principle, and L0-L1 equivalence

  2026cites this paper
• Interpretable Optimized Support Vector Machines for Predicting the Coal Gross Calorific Value Based on Ultimate Analysis for Energy Systems

  2026cites this paper
• Variability Regularized Feature Selection (VaRFS) for optimal identification of robust and discriminable features from medical imaging

  2026cites this paper
• Statistical inference after variable selection in Cox models: A simulation study

  2026cites this paper
• Enhancing Streamflow Prediction Using Cutting-edge Deep Learning Models and Seasonal-Trend Decomposition

  2026cites this paper
• Introducing Partial Correlation Networks to Reveal the Interrelationships Between Ecosystem Services and Social–Ecological Factors: A Case Study of the Shiyang River Basin

  2026cites this paper
• LARGE: A Locally Adaptive Regularization Approach for Estimating Gaussian Graphical Models

  2026cites this paper
• Sparse Statistical Modeling in Condensed Matter Physics

  2026cites this paper
• posis: Command for the sure-independence-screening Neyman orthogonal estimator

  2025cites this paper
• First-principles phonon physics using the Pheasy code

  2025cites this paper
• Review of Simulation Studies Evaluating Imputation Methods in High‐Dimensional Datasets

  2025cites this paper
• Labor market sorting and the gender pay gap revisited

  2025cites this paper
• Distensibility index measured after Toupet fundoplication is associated with long-term dysphagia

  2025cites this paper
• Interdisciplinary framework for cyber-attacks and anomaly detection in industrial control systems using deep learning

  2025cites this paper
• Digital Predistorter Implementation for Wideband Power Amplifiers in New Generation Wireless Systems Based on a Low‐Complexity Volterra Series Model

  2025cites this paper
• The Role of Global Physical Capacity Score in Key Parameters of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)

  2025cites this paper
• Guidelines for LASSO and derivatives use under different dependence and scale structures

  2025cites this paper
• Machine learning for detection of diffusion abnormalities-related respiratory changes among normal, overweight, and obese individuals based on BMI and pulmonary ventilation parameters: an observational study

  2025cites this paper
• Multi-task genomic prediction using gated residual variable selection neural networks

  2025cites this paper
• Duality theory on generalized singular values and its applications

  2025cites this paper
• Invited review article: Artificial intelligence in orthopaedic surgery a comprehensive review

  2025cites this paper
• Accelerating Proximal Gradient-type Algorithms using Damped Anderson Acceleration with Restarts and Nesterov Initialization

  2025cites this paper
• Global 30-m annual median vegetation height maps (2000–2022) based on ICESat-2 data and Machine Learning

  2025cites this paper
• Impact of burnout on turnover, medical errors, medical leave and a cross-sectional study of contributing factors among Chilean physicians

  2025cites this paper
• Proximal subgradient method for non-Lipschitz objective functions

  2025cites this paper
• Dependency-Aware Shrinkage Priors for High Dimensional Regression

  2025cites this paper
• Network Analysis of Basic Psychological Need Frustration and Depressive Symptoms Among Adolescents: A Longitudinal Study

  2025cites this paper
• Simultaneous variable selection and estimation for a partially linear Cox model

  2025cites this paper
• Inventory management with leading indicator augmented hierarchical forecasts

  2025cites this paper
• A Bayesian Approach for Inference on Mixed Graphical Models

  2025cites this paper
• Optimizing Quality Tolerance Limits Monitoring in Clinical Trials Through Machine Learning Methods

  2025cites this paper
• GBSVR: Granular Ball Support Vector Regression

  2025cites this paper
• Estimating coal proximate parameters and Gross Calorific Value from geophysical logs in Talcher coalfield using multi-layer perceptron, multi-output regression, and ensemble machine learning

  2025cites this paper
• Transcriptome Complexity Disentangled: A Regulatory Molecules Approach

  2025cites this paper
• Regularization and Selection in A Directed Network Model with Nodal Homophily and Nodal Effects

  2025cites this paper
• MODIFIED ADAPTIVE LASSO FOR CLASSIFICATION OF HIGH DIMENSIONAL DATA

  2025cites this paper
• Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware

  2025cites this paper
• A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions

  2025cites this paper
• 2ACT: AI-Accentuated Career Transitions via Skill Bridges

  2025cites this paper
• Foundations of Top-k Decoding For Language Models

  2025cites this paper
• EquiReg: Equivariance Regularized Diffusion for Inverse Problems

  2025cites this paper
• Inverse design for robust inference in integrated computational spectrometry

  2025cites this paper
• The Lasso Distribution: Properties, Sampling Methods, and Applications in Bayesian Lasso Regression

  2025influential citation
• Cerebellar grey matter volume is associated with semantic fluency performance in amyotrophic lateral sclerosis patients

  2025cites this paper
• Association Between Follistatin and PAI-1 Levels in MASLD Subjects Undergoing a Plant-Based Dietary Intervention

  2025cites this paper
• Model-Driven Deep Learning for Massive Access in Internet of Things Networks

  2025cites this paper
• A Novel Explainable Hybrid Model for Permeability Prediction of Tight Sandstone Using PI‐DeepFM Machine Learning Algorithm

  2025cites this paper
• Graph Structure Learning with Privacy Guarantees for Open Graph Data

  2025cites this paper
• Learning and Testing Inverse Statistical Problems For Interacting Systems Undergoing Phase Transition

  2025influential citation
• Imidazole propionate is a driver and therapeutic target in atherosclerosis

  2025cites this paper
• Asymptotic Theory of $K$-fold Cross-validation in Lasso and the validity of Bootstrap

  2025cites this paper
• Optimization of Indonesia's Trade Predictions Through Penalized Regression Models

  2025influential citation
• Using machine learning methods to investigate the role of volatile organic compounds in non-alcoholic fatty liver disease

  2025cites this paper
• Generalisation and benign over-fitting for linear regression onto random functional covariates

  2025cites this paper
• Sparse Polynomial Regression under Anomalous Data

  2025cites this paper
• Correlating High-dimensional longitudinal microbial features with time-varying outcomes with FLORAL

  2025cites this paper
• Fast Debiasing of the LASSO Estimator

  2025cites this paper
• Fenchel-Young Variational Learning

  2025cites this paper
• Regularization can make diffusion models more efficient

  2025cites this paper
• LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

  2025cites this paper
• Patterns of autoantibody expression in multiple sclerosis identified through development of an autoantigen discovery technology

  2025cites this paper
• The Significant Effects of Threshold Selection for Advancing Nitrogen Use Efficiency in Whole Genome of Bread Wheat

  2025cites this paper
• Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning

  2025cites this paper
• Machine Learning Optimized Optical Surface Plasmon Resonance Biosensor Using Locally Weighted Linear Regression for Rapid and Accurate Detection of Tuberculosis Biomarkers

  2025cites this paper
• Explainable and Class-Revealing Signal Feature Extraction via Scattering Transform and Constrained Zeroth-Order Optimization

  2025cites this paper
• Computational Optimization of Ceramic Waste-Based Concrete Mixtures: A Comprehensive Analysis of Machine Learning Techniques

  2025cites this paper
• Combining psychometric and machine learning approaches to select items and score responses

  2025cites this paper
• A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression

  2025cites this paper
• Support estimation and sign recovery in high‐dimensional heteroscedastic mean regression

  2025cites this paper
• A prospective multicenter study on prognostic factors and quality of care in Severe Acquired Brain Injury rehabilitation units: a project from the Tiresia network

  2025cites this paper
• Causal Rank Lasso for Single Index Model

  2025cites this paper
• A Protocol to Exposure Path Analysis for Multiple Stressors Associated with Cardiovascular Disease Risk: A Novel Approach Using NHANES Data

  2025cites this paper
• Interpretable deep learning for deconvolutional analysis of neural signals.

  2025cites this paper
• Decoding deception in the online marketplace: enhancing fake review detection with psycholinguistics and transformer models

  2025cites this paper
• Identification and Correction of Permutation Errors in Compressed Sensing-Based Group Testing

  2025cites this paper
• The maximum residual block Kaczmarz algorithm based on feature selection

  2025cites this paper
• Investigating the Effects of Reconstruction Conditions on Image Quality and Radiomic Analysis in Photon-counting Computed Tomography

  2025cites this paper
• A Unified Approach for Estimating Various Treatment Effects in Causal Inference

  2025influential citation
• On Fundamental Limits for Fluid Antenna-Assisted Integrated Sensing and Communications for Unsourced Random Access

  2025influential citation
• Digital Adoption and Cyber Security: An Analysis of Canadian Businesses

  2025cites this paper
• Integral control of the proximal gradient method for unbiased sparse optimization

  2025cites this paper
• Disparities in liver transplantation for metabolic dysfunction-associated steatohepatitis-associated hepatocellular carcinoma

  2025cites this paper
• Leveraging Noisy Manual Labels as Useful Information: An Information Fusion Approach for Enhanced Variable Selection in Penalized Logistic Regression

  2025cites this paper
• Predicting Placenta Accreta Spectrum Disorder Through Machine Learning Using Metabolomic and Lipidomic Profiling and Clinical Characteristics

  2025cites this paper
• Mapping the spatio-temporal distribution of burned areas in the Amazon from 2001 to 2020: an ensemble modeling approach

  2025cites this paper
• Sparsity is All You Need: Rethinking Biological Pathway-Informed Approaches in Deep Learning

  2025cites this paper
• Design and optimization of a hybrid graphene-metallic metasurfaces terahertz biosensor for high-precision detection of reproductive hormones, integrating locally weighted linear regression analysis and 2-bit encoding capabilities

  2025cites this paper
• Identifying and Predicting Nascent High-Growth Firms Using Machine Learning

  2025cites this paper
• Pupillometric prediction of age as a potential proxy to cardiovascular fitness

  2025cites this paper
• Rhythm profiling using COFE reveals multi-omic circadian rhythms in human cancers in vivo

  2025cites this paper
• A Systematic Survey of Sparse Clustering

  2025influential citation
• From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit

  2025cites this paper
• "Univariate-Guided Sparse Regression": Rejoinder

  2025influential citation