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Variable Selection

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Showing 101–150 of 566 papers

TitleStatusHype
Sparse Deep Learning for Time Series Data: Theory and Applications—0
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regressionCode0
Effect of hyperparameters on variable selection in random forestsCode0
Identifying spatial interdependence in panel data with large N and small T—0
Neural lasso: a unifying approach of lasso and neural networks—0
SharpSAT-TD in Model Counting Competitions 2021-2023Code1
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic PerspectiveCode0
Small Area Estimation with Random Forests and the LASSO—0
Systematic reduction of Hyperspectral Images for high-throughput Plastic Characterization—0
Spectral information criterion for automatic elbow detection—0
Nonlinear Permuted Granger Causality—0
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique—0
An Efficient Shapley Value Computation for the Naive Bayes Classifier—0
VolTS: A Volatility-based Trading System to forecast Stock Markets Trend using Statistics and Machine Learning—0
Stochastic Step-wise Feature Selection for Exponential Random Graph Models (ERGMs)—0
Poverty rate prediction using multi-modal survey and earth observation data—0
Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives—0
On Sufficient Graphical Models—0
Deep Inception Networks: A General End-to-End Framework for Multi-asset Quantitative Strategies—0
Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical DataCode0
Learning to Branch in Combinatorial Optimization with Graph Pointer Networks—0
Scalable variable selection for two-view learning tasks with projection operatorsCode0
Structured Learning in Time-dependent Cox ModelsCode0
Harnessing the Potential of Volatility: Advancing GDP Prediction—0
TreeDQN: Learning to minimize Branch-and-Bound treeCode0
Localized Neural Network Modelling of Time Series: A Case Study on US Monetary Policy—0
Statistical Estimation for Covariance Structures with Tail Estimates using Nodewise Quantile Predictive Regression Models—0
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization—0
Sparsifying Bayesian neural networks with latent binary variables and normalizing flowsCode0
Slow Kill for Big Data Learning—0
System Identification with Copula EntropyCode0
The Adaptive τ-Lasso: Robustness and Oracle Properties—0
DiscoVars: A New Data Analysis Perspective -- Application in Variable Selection for Clustering—0
Variable-Complexity Weighted-Tempered Gibbs Samplers for Bayesian Variable Selection—0
Synthesize High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language ModelCode1
Sequential Knockoffs for Variable Selection in Reinforcement Learning—0
An ADMM approach for multi-response regression with overlapping groups and interaction effects—0
A Survey of Numerical Algorithms that can Solve the Lasso Problems—0
Environment Invariant Linear Least SquaresCode0
Variable Selection for Kernel Two-Sample Tests—0
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery—0
Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable SelectionCode0
Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression—0
Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug—0
Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) dataCode0
Understanding Best Subset Selection: A Tale of Two C(omplex)ities—0
Bayesian Models of Functional Connectomics and Behavior—0
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming SolverCode1
On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization—0
Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data—0
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