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Variable Selection

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Showing 201–250 of 566 papers

TitleStatusHype
Evolutionary shift detection with ensemble variable selectionCode0
A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of termsCode0
A novel nonconvex, smooth-at-origin penalty for statistical learning—0
Scalable Spike-and-SlabCode0
Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems—0
GAM(L)A: An econometric model for interpretable Machine Learning—0
Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning—0
Variable Selection with the Knockoffs: Composite Null Hypotheses—0
Missing Value Knockoffs—0
Flexible variable selection in the presence of missing dataCode0
Scalable Gaussian-process regression and variable selection using Vecchia approximationsCode0
Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold RegressionCode0
AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomesCode0
Inference of Multiscale Gaussian Graphical Model—0
VC-PCR: A Prediction Method based on Supervised Variable Selection and Clustering—0
Yordle: An Efficient Imitation Learning for Branch and Bound—0
Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling—0
Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection—0
Bayesian Approaches to Shrinkage and Sparse EstimationCode0
Variational Bayes for high-dimensional proportional hazards models with applications within gene expressionCode0
Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction—0
Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic NetCode0
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms—0
A Fast Non-parametric Approach for Local Causal Structure Learning—0
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian ProcessesCode0
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends—0
Semiparametric discrete data regression with Monte Carlo inference and predictionCode0
Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling—0
The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control—0
Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant—0
A Comparison of Variable Selection Methods for Blockwise Diagonal Designs—0
A gradient-based variable selection for binary classification in reproducing kernel Hilbert space—0
Provable Identifiability of ReLU Neural Networks via Lasso Regularization—0
Deep neural networks with controlled variable selection for the identification of putative causal genetic variantsCode0
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional dataCode0
Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis—0
Computationally Efficient High-Dimensional Bayesian Optimization via Variable SelectionCode0
Differentially Private Variable Selection via the Knockoff Filter—0
Variable Selection for Causal Inference via Outcome-Adaptive Random Forest—0
What drives bitcoin? An approach from continuous local transfer entropy and deep learning classification models—0
Double Machine Learning and Automated Confounder Selection -- A Cautionary Tale—0
Exclusive Group Lasso for Structured Variable SelectionCode0
Dimensionality Reduction and State Space Systems: Forecasting the US Treasury Yields Using Frequentist and Bayesian VARs—0
Bayesian forecast combination using time-varying features—0
Data-Driven Constitutive Relation Reveals Scaling Law for Hydrodynamic Transport Coefficients—0
Estimating high-dimensional Markov-switching VARs—0
LocalGLMnet: interpretable deep learning for tabular data—0
Inference for High Dimensional Censored Quantile RegressionCode0
Order Book Queue Hawkes-Markovian Modeling—0
Decoupling Shrinkage and Selection for the Bayesian Quantile Regression—0
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