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Variable Selection

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Showing 301–350 of 566 papers

TitleStatusHype
Dynamic sparsity on dynamic regression models—0
Selective Cascade of Residual ExtraTrees—0
ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso—0
Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex PenaltiesCode0
Regularization Approach for Network Modeling of German Power Derivative Market—0
Expectation propagation on the diluted Bayesian classifier—0
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection—0
Variable selection for Gaussian process regression through a sparse projection—0
Grouping effects of sparse CCA models in variable selection—0
Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndromeCode0
Solar: L_0 solution path averaging for fast and accurate variable selection in high-dimensional data—0
Accuracy and stability of solar variable selection comparison under complicated dependence structuresCode0
Rademacher upper bounds for cross-validation errors with an application to the lasso—0
Improving probability selecting based weights for Satisfiability Problem—0
Instrument variable detection with graph learning : an application to high dimensional GIS-census data for house pricingCode0
Understanding Implicit Regularization in Over-Parameterized Single Index Model—0
When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates—0
Variable Selection via Thompson Sampling—0
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications—0
Fast, Optimal, and Targeted Predictions using Parametrized Decision Analysis—0
A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics—0
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal PosteriorsCode0
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org—0
FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated FeaturesCode0
Selecting Diverse Models for Scientific Insight—0
Robust Grouped Variable Selection Using Distributionally Robust Optimization—0
Interpretable Classification of Bacterial Raman Spectra with Knockoff WaveletsCode0
Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data—0
Instance Explainable Temporal Network For Multivariate Timeseries—0
Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm—0
LASSO-Driven Inference in Time and Space—0
Robust Lasso-Zero for sparse corruption and model selection with missing covariatesCode0
Interpretable random forest models through forward variable selection—0
Flexible co-data learning for high-dimensional prediction—0
A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical DataCode0
Semi-analytic approximate stability selection for correlated data in generalized linear models—0
Hyperspectral-Multispectral Image Fusion with Weighted LASSO—0
A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation—0
Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable SelectionCode0
Robust Boosting for Regression ProblemsCode0
Two-part hidden Markov models for semicontinuous longitudinal data with nonignorable missing covariates—0
The Reciprocal Bayesian LASSOCode0
An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection—0
Confounder Selection via Support Intersection—0
MM for Penalized Estimation—0
MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection—0
Deep Variable-Block Chain with Adaptive Variable Selection—0
Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models—0
A sparse negative binomial mixture model for clustering RNA-seq count dataCode0
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon—0
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