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Variable Selection

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Showing 401–450 of 566 papers

TitleStatusHype
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties—0
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine LearningCode0
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and rankingCode0
A Theory of Dichotomous Valuation with Applications to Variable Selection—0
Group-sparse SVD Models and Their Applications in Biological Data—0
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework—0
A Unified Framework for Sparse Relaxed Regularized Regression: SR3—0
Orthogonal Matching Pursuit for Text ClassificationCode0
Nonoverlap-Promoting Variable Selection—0
Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach—0
Provable Variable Selection for Streaming Features—0
Automatic Identification of Twin Zygosity in Resting-State Functional MRI—0
Feature selection in functional data classification with recursive maxima hunting—0
Variable Selection for Nonparametric Learning with Power Series Kernels—0
Statistical mechanical analysis of sparse linear regression as a variable selection problem—0
Flexible shrinkage in high-dimensional Bayesian spatial autoregressive models—0
Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks—0
A Note on Coding and Standardization of Categorical Variables in (Sparse) Group Lasso Regression—0
Structured nonlinear variable selectionCode0
Inference for L_2-BoostingCode0
Scalable Importance Tempering and Bayesian Variable SelectionCode0
Local White Matter Architecture Defines Functional Brain Dynamics—0
Large-scale Nonlinear Variable Selection via Kernel Random Features—0
Learning to Branch—0
Sparse Reduced Rank Regression With Nonconvex Regularization—0
False Discovery Rate Control via Debiased Lasso—0
Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection ConstraintsCode0
Semi-Analytic Resampling in LassoCode0
Efficient kernel-based variable selection with sparsistency—0
Variable Selection and Task Grouping for Multi-Task LearningCode0
Greedy Active Learning Algorithm for Logistic Regression Models—0
Variable Prioritization in Nonlinear Black Box Methods: A Genetic Association Case StudyCode0
Data-driven forecasting of solar irradiance—0
Estimation and Inference of Treatment Effects with L_2-Boosting in High-Dimensional Settings—0
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distributionCode0
Stability Selection for Structured Variable Selection—0
Regularized Modal Regression with Applications in Cognitive Impairment Prediction—0
Group Sparse Additive Machine—0
Causal nearest neighbor rules for optimal treatment regimes—0
Proximal Gradient Method with Extrapolation and Line Search for a Class of Nonconvex and Nonsmooth Problems—0
Sparse quadratic classification rules via linear dimension reductionCode0
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic netCode0
An Expectation Conditional Maximization approach for Gaussian graphical modelsCode0
Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure—0
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification—0
Improving Gibbs Sampler Scan Quality with DoGS—0
A Cluster Elastic Net for Multivariate Regression—0
Sparse inference of the drift of a high-dimensional Ornstein-Uhlenbeck process—0
Exhaustive search for sparse variable selection in linear regression—0
A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife—0
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