Browse State-of-the-Art › Variable Selection › Papers, page 4
Variable Selection
Papers archive 2025-07-28
archive papers tagged: 566 · with a code link: 145 · where Syntology ran a sample: 9 (7 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (9 of 566 tagged: 7 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument)
Page 4 of 6: papers 301 to 400 of 566, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.
Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.
-
Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction17 Dec 2021 0 repositories listed
-
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms30 Nov 2021 0 repositories listed
-
A Fast Non-parametric Approach for Local Causal Structure Learning29 Nov 2021 0 repositories listed
-
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends5 Nov 2021 0 repositories listed
-
Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling16 Oct 2021 0 repositories listed
-
The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control12 Oct 2021 0 repositories listed
-
Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant5 Oct 2021 0 repositories listed
-
A Comparison of Variable Selection Methods for Blockwise Diagonal Designs29 Sep 2021 0 repositories listed
-
A gradient-based variable selection for binary classification in reproducing kernel Hilbert space29 Sep 2021 0 repositories listed
-
Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis29 Sep 2021 0 repositories listed
-
Provable Identifiability of ReLU Neural Networks via Lasso Regularization29 Sep 2021 0 repositories listed
-
Differentially Private Variable Selection via the Knockoff Filter12 Sep 2021 0 repositories listed
-
Variable Selection for Causal Inference via Outcome-Adaptive Random Forest9 Sep 2021 0 repositories listed
-
What drives bitcoin? An approach from continuous local transfer entropy and deep learning classification models2 Sep 2021 0 repositories listed
-
Double Machine Learning and Automated Confounder Selection -- A Cautionary Tale25 Aug 2021 0 repositories listed
-
Dimensionality Reduction and State Space Systems: Forecasting the US Treasury Yields Using Frequentist and Bayesian VARs14 Aug 2021 0 repositories listed
-
Bayesian forecast combination using time-varying features4 Aug 2021 0 repositories listed
-
Data-Driven Constitutive Relation Reveals Scaling Law for Hydrodynamic Transport Coefficients1 Aug 2021 0 repositories listed
-
Estimating high-dimensional Markov-switching VARs27 Jul 2021 0 repositories listed
-
LocalGLMnet: interpretable deep learning for tabular data23 Jul 2021 0 repositories listed
-
Order Book Queue Hawkes-Markovian Modeling20 Jul 2021 0 repositories listed
-
Decoupling Shrinkage and Selection for the Bayesian Quantile Regression18 Jul 2021 0 repositories listed
-
Correlation scenarios and correlation stress testing14 Jul 2021 0 repositories listed
-
Semiparametric count data regression for self-reported mental health16 Jun 2021 0 repositories listed
-
Bayesian Boosting for Linear Mixed Models9 Jun 2021 0 repositories listed
-
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond8 Jun 2021 0 repositories listed
-
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection3 Jun 2021 0 repositories listed
-
Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems17 May 2021 0 repositories listed
-
Face Attributes as Cues for Deep Face Recognition Understanding14 May 2021 0 repositories listed
-
Bayesian subset selection and variable importance for interpretable prediction and classification20 Apr 2021 0 repositories listed
-
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes11 Apr 2021 0 repositories listed
-
A Two-Stage Variable Selection Approach for Correlated High Dimensional Predictors24 Mar 2021 0 repositories listed
-
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA26 Feb 2021 0 repositories listed
-
Risk factor identification for incident heart failure using neural network distillation and variable selection17 Feb 2021 0 repositories listed
-
Unobserved classes and extra variables in high-dimensional discriminant analysis3 Feb 2021 0 repositories listed
-
Counterfactual Generation with Knockoffs1 Feb 2021 0 repositories listed
-
Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach27 Jan 2021 0 repositories listed
-
Statistical Methods for cis-Mendelian Randomization with Two-sample Summary-level Data11 Jan 2021 0 repositories listed
-
On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques7 Jan 2021 0 repositories listed
-
Recovery of Linear Components: Reduced Complexity Autoencoder Designs14 Dec 2020 0 repositories listed
-
Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology11 Dec 2020 0 repositories listed
-
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery1 Dec 2020 0 repositories listed
-
Persistent Reductions in Regularized Loss Minimization for Variable Selection30 Nov 2020 0 repositories listed
-
A Self-Penalizing Objective Function for Scalable Interaction Detection24 Nov 2020 0 repositories listed
-
Precision-Recall Curve (PRC) Classification Trees15 Nov 2020 0 repositories listed
-
Nonparametric Variable Screening with Optimal Decision Stumps5 Nov 2020 0 repositories listed
-
Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model2 Nov 2020 0 repositories listed
-
Smoothly Adaptively Centered Ridge Estimator31 Oct 2020 0 repositories listed
-
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors24 Oct 2020 0 repositories listed
-
The Knowledge Graph for Macroeconomic Analysis with Alternative Big Data11 Oct 2020 0 repositories listed
-
Dynamic sparsity on dynamic regression models29 Sep 2020 0 repositories listed
-
Selective Cascade of Residual ExtraTrees29 Sep 2020 0 repositories listed
-
ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso22 Sep 2020 0 repositories listed
-
Regularization Approach for Network Modeling of German Power Derivative Market21 Sep 2020 0 repositories listed
-
Expectation propagation on the diluted Bayesian classifier20 Sep 2020 0 repositories listed
-
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection17 Sep 2020 0 repositories listed
-
Variable selection for Gaussian process regression through a sparse projection25 Aug 2020 0 repositories listed
-
Grouping effects of sparse CCA models in variable selection7 Aug 2020 0 repositories listed
-
Accuracy and stability of solar variable selection comparison under complicated dependence structures30 Jul 2020 0 repositories listed
-
Improving probability selecting based weights for Satisfiability Problem30 Jul 2020 0 repositories listed
-
Rademacher upper bounds for cross-validation errors with an application to the lasso30 Jul 2020 0 repositories listed
-
Solar: L₀ solution path averaging for fast and accurate variable selection in high-dimensional data30 Jul 2020 0 repositories listed
-
Instrument variable detection with graph learning : an application to high dimensional GIS-census data for house pricing30 Jul 2020 0 repositories listed
-
Understanding Implicit Regularization in Over-Parameterized Single Index Model16 Jul 2020 0 repositories listed
-
When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates14 Jul 2020 0 repositories listed
-
Variable Selection via Thompson Sampling1 Jul 2020 0 repositories listed
-
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications26 Jun 2020 0 repositories listed
-
A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics23 Jun 2020 0 repositories listed
-
Fast, Optimal, and Targeted Predictions using Parametrized Decision Analysis23 Jun 2020 0 repositories listed
-
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org20 Jun 2020 0 repositories listed
-
Selecting Diverse Models for Scientific Insight16 Jun 2020 0 repositories listed
-
Robust Grouped Variable Selection Using Distributionally Robust Optimization10 Jun 2020 0 repositories listed
-
Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data2 Jun 2020 0 repositories listed
-
Instance Explainable Temporal Network For Multivariate Timeseries26 May 2020 0 repositories listed
-
Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm20 May 2020 0 repositories listed
-
LASSO-Driven Inference in Time and Space15 May 2020 0 repositories listed
-
Interpretable random forest models through forward variable selection11 May 2020 0 repositories listed
-
Flexible co-data learning for high-dimensional prediction8 May 2020 0 repositories listed
-
Semi-analytic approximate stability selection for correlated data in generalized linear models19 Mar 2020 0 repositories listed
-
Hyperspectral-Multispectral Image Fusion with Weighted LASSO15 Mar 2020 0 repositories listed
-
A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation14 Feb 2020 0 repositories listed
-
Two-part hidden Markov models for semicontinuous longitudinal data with nonignorable missing covariates31 Jan 2020 0 repositories listed
-
An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection6 Jan 2020 0 repositories listed
-
Confounder Selection via Support Intersection25 Dec 2019 0 repositories listed
-
MM for Penalized Estimation23 Dec 2019 0 repositories listed
-
MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection13 Dec 2019 0 repositories listed
-
Deep Variable-Block Chain with Adaptive Variable Selection7 Dec 2019 0 repositories listed
-
Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models5 Dec 2019 0 repositories listed
-
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon3 Dec 2019 0 repositories listed
-
Stable Learning via Sample Reweighting28 Nov 2019 0 repositories listed
-
A Discrete CVAE for Response Generation on Short-Text Conversation22 Nov 2019 0 repositories listed
-
Bayesian sparse convex clustering via global-local shrinkage priors20 Nov 2019 0 repositories listed
-
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection28 Oct 2019 0 repositories listed
-
Power analysis of knockoff filters for correlated designs28 Oct 2019 0 repositories listed
-
Variable Selection with Random Survival Forest and Bayesian Additive Regression Tree for Survival Data4 Oct 2019 0 repositories listed
-
Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington's disease27 Sep 2019 0 repositories listed
-
Knockoff-Inspired Feature Selection via Generative Models25 Sep 2019 0 repositories listed
-
The column measure and Gradient-Free Gradient Boosting24 Sep 2019 0 repositories listed
-
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning17 Sep 2019 0 repositories listed
-
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing13 Sep 2019 0 repositories listed