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Variable Selection

Papers

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Showing 251–300 of 566 papers

TitleStatusHype
DECOrrelated feature space partitioning for distributed sparse regression—0
Decoupling Shrinkage and Selection for the Bayesian Quantile Regression—0
Deep Inception Networks: A General End-to-End Framework for Multi-asset Quantitative Strategies—0
Deep Learning: A Bayesian Perspective—0
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems—0
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch—0
Deep Variable-Block Chain with Adaptive Variable Selection—0
Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning—0
Determination of class-specific variables in nonparametric multiple-class classification—0
Developing an ICU scoring system with interaction terms using a genetic algorithm—0
Differentially Private Variable Selection via the Knockoff Filter—0
Dimensionality Reduction and State Space Systems: Forecasting the US Treasury Yields Using Frequentist and Bayesian VARs—0
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection—0
DiscoVars: A New Data Analysis Perspective -- Application in Variable Selection for Clustering—0
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX—0
Double Machine Learning and Automated Confounder Selection -- A Cautionary Tale—0
Dynamic sparsity on dynamic regression models—0
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing—0
Economic Forecasts Using Many Noises—0
ecpc: An R-package for generic co-data models for high-dimensional prediction—0
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms—0
Efficient Clustering of Correlated Variables and Variable Selection in High-Dimensional Linear Models—0
Efficient hinging hyperplanes neural network and its application in nonlinear system identification—0
Efficient Regularized Piecewise-Linear Regression Trees—0
Efficient Regularized Regression for Variable Selection with L0 Penalty—0
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning—0
Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification—0
Elastic Net Procedure for Partially Linear Models—0
Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates—0
Enhancing Variable Selection in Large-scale Logistic Regression: Leveraging Manual Labeling with Beneficial Noise—0
Equitability of Dependence Measure—0
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning—0
Estimating high-dimensional Markov-switching VARs—0
Estimation and Inference of Treatment Effects with L_2-Boosting in High-Dimensional Settings—0
Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug—0
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks—0
Exhaustive search for sparse variable selection in linear regression—0
Expectation propagation on the diluted Bayesian classifier—0
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning—0
Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data—0
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning—0
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning—0
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling—0
Extensions of stability selection using subsamples of observations and covariates—0
Face Attributes as Cues for Deep Face Recognition Understanding—0
Faithful Variable Screening for High-Dimensional Convex Regression—0
False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening—0
False Discovery Rate Control via Debiased Lasso—0
Fast, Optimal, and Targeted Predictions using Parametrized Decision Analysis—0
fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data—0
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