Browse State-of-the-Art › Variable Selection › Papers, page 2

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 2 of 6: papers 101 to 200 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.

• copent: Estimating Copula Entropy and Transfer Entropy in R
  27 May 2020 1 repository listed
• Robust Lasso-Zero for sparse corruption and model selection with missing covariates
  12 May 2020 1 repository listed
• A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data
  5 May 2020 1 repository listed
• Invariant Causal Prediction for Block MDPs
  12 Mar 2020 1 repository listed
• Flexible Bayesian Nonlinear Model Configuration
  5 Mar 2020 1 repository listed
• Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection
  7 Feb 2020 1 repository listed
• Robust Boosting for Regression Problems
  6 Feb 2020 1 repository listed
• The Reciprocal Bayesian LASSO
  23 Jan 2020 1 repository listed
• Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives
  17 Jan 2020 1 repository listed
• A sparse negative binomial mixture model for clustering RNA-seq count data
  5 Dec 2019 1 repository listed
• Learning Local Search Heuristics for Boolean Satisfiability
  1 Dec 2019 1 repository listed
• LMLFM: Longitudinal Multi-Level Factorization Machine
  11 Nov 2019 1 repository listed
• Variable Selection with Copula Entropy
  28 Oct 2019 1 repository listed
• Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold Optimization
  11 Oct 2019 1 repository listed
• Variable selection with false discovery rate control in deep neural networks
  17 Sep 2019 1 repository listed
• Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction
  21 Aug 2019 1 repository listed
• Multiple Testing and Variable Selection along the path of the Least Angle Regression
  28 Jun 2019 1 repository listed
• INVASE: Instance-wise Variable Selection using Neural Networks
  1 May 2019 1 repository listed
• Machine learning in policy evaluation: new tools for causal inference
  1 Mar 2019 1 repository listed
• Granger Causality Testing in High-Dimensional VARs: a Post-Double-Selection Procedure
  28 Feb 2019 1 repository listed
• Learning Hierarchical Interactions at Scale: A Convex Optimization Approach
  5 Feb 2019 1 repository listed Syntology 0 ran · 1 unverified (of 1 harvested sample)
• Combinatorial Bayesian Optimization using the Graph Cartesian Product
  1 Feb 2019 1 repository listed
• Accurate Dictionary Learning with Direct Sparsity Control
  1 Oct 2018 1 repository listed
• A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
  16 Aug 2018 1 repository listed
• High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking
  2 Aug 2018 1 repository listed
• Orthogonal Matching Pursuit for Text Classification
  12 Jul 2018 1 repository listed
• Structured nonlinear variable selection
  16 May 2018 1 repository listed
• Inference for L₂-Boosting
  4 May 2018 1 repository listed
• Scalable Importance Tempering and Bayesian Variable Selection
  1 May 2018 1 repository listed
• Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms
  5 Mar 2018 1 repository listed
• Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection Constraints
  1 Mar 2018 1 repository listed
• Semi-Analytic Resampling in Lasso
  28 Feb 2018 1 repository listed
• Variable Selection and Task Grouping for Multi-Task Learning
  13 Feb 2018 1 repository listed
• Variable Prioritization in Nonlinear Black Box Methods: A Genetic Association Case Study
  22 Jan 2018 1 repository listed
• Sparse quadratic classification rules via linear dimension reduction
  13 Nov 2017 1 repository listed
• Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net
  25 Sep 2017 1 repository listed
• An Expectation Conditional Maximization approach for Gaussian graphical models
  20 Sep 2017 1 repository listed
• Cross-Validation with Confidence
  23 Mar 2017 1 repository listed
• Outcome-adaptive lasso: variable selection for causal inference
  8 Mar 2017 1 repository listed
• metboost: Exploratory regression analysis with hierarchically clustered data
  13 Feb 2017 1 repository listed
• Boosting Joint Models for Longitudinal and Time-to-Event Data
  9 Sep 2016 1 repository listed
• Improving SAT Solvers via Blocked Clause Decomposition
  2 Apr 2016 1 repository listed
• DOLDA - a regularized supervised topic model for high-dimensional multi-class regression
  31 Jan 2016 1 repository listed
• Bayesian Approximate Kernel Regression with Variable Selection
  5 Aug 2015 1 repository listed
• Covariance and PCA for Categorical Variables
  28 Nov 2007 1 repository listed
• Heterogeneous Exposures to Systematic and Idiosyncratic Risk across Crypto Assets: A Divide-and-Conquer Approach
  26 Jun 2025 0 repositories listed
• On the ability of Deep Neural Networks to Learn Granger Causality in Multi-Variate Time Series Data
  25 Jun 2025 0 repositories listed
• Bayesian Hybrid Machine Learning of Gallstone Risk
  17 Jun 2025 0 repositories listed
• Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances
  16 Jun 2025 0 repositories listed
• On feature selection in double-imbalanced data settings: a Random Forest approach
  12 Jun 2025 0 repositories listed
• Knockoffs Inference under Privacy Constraints
  11 Jun 2025 0 repositories listed
• A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
  25 May 2025 0 repositories listed
• Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming
  16 May 2025 0 repositories listed
• Nonparametric learning of covariate-based Markov jump processes using RKHS techniques
  6 May 2025 0 repositories listed
• CFD-Based Quantification of Hemodynamic Variables in Cerebral Aneurysms: How Hemodynamics Shape Aneurysm Fate
  5 May 2025 0 repositories listed
• Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series
  30 Apr 2025 0 repositories listed
• Ridge partial correlation screening for ultrahigh-dimensional data
  27 Apr 2025 0 repositories listed
• Enhancing Variable Selection in Large-scale Logistic Regression: Leveraging Manual Labeling with Beneficial Noise
  23 Apr 2025 0 repositories listed
• Transformer Learns Optimal Variable Selection in Group-Sparse Classification
  11 Apr 2025 0 repositories listed
• Spike-and-Slab Posterior Sampling in High Dimensions
  4 Mar 2025 0 repositories listed
• Structural breaks detection and variable selection in dynamic linear regression via the Iterative Fused LASSO in high dimension
  28 Feb 2025 0 repositories listed
• Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input
  23 Feb 2025 0 repositories listed
• Variational empirical Bayes variable selection in high-dimensional logistic regression
  14 Feb 2025 0 repositories listed
• A Differentiable Rank-Based Objective For Better Feature Learning
  13 Feb 2025 0 repositories listed
• Heteroscedastic Double Bayesian Elastic Net
  4 Feb 2025 0 repositories listed
• Practically Effective Adjustment Variable Selection in Causal Inference
  4 Feb 2025 0 repositories listed
• Consistent support recovery for high-dimensional diffusions
  28 Jan 2025 0 repositories listed
• Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection
  28 Jan 2025 0 repositories listed
• Improved joint modelling of breast cancer radiomics features and hazard by image registration aided longitudinal CT data
  12 Jan 2025 0 repositories listed
• Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age
  12 Jan 2025 0 repositories listed
• Mathematics of Digital Twins and Transfer Learning for PDE Models
  11 Jan 2025 0 repositories listed
• A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval
  6 Jan 2025 0 repositories listed
• A Graphical Approach to State Variable Selection in Off-policy Learning
  1 Jan 2025 0 repositories listed
• Fréchet regression with implicit denoising and multicollinearity reduction
  24 Dec 2024 0 repositories listed
• PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects
  24 Dec 2024 0 repositories listed
• Variable Selection for Comparing High-dimensional Time-Series Data
  9 Dec 2024 0 repositories listed
• Optimal Particle-based Approximation of Discrete Distributions (OPAD)
  30 Nov 2024 0 repositories listed
• Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty
  22 Nov 2024 0 repositories listed
• Variable Selection in Convex Piecewise Linear Regression
  4 Nov 2024 0 repositories listed
• Statistical Inference in Classification of High-dimensional Gaussian Mixture
  25 Oct 2024 0 repositories listed
• Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences
  24 Oct 2024 0 repositories listed
• Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors
  22 Oct 2024 0 repositories listed
• Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach
  19 Oct 2024 0 repositories listed
• fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data
  14 Oct 2024 0 repositories listed
• Resource-Constrained Heuristic for Max-SAT
  11 Oct 2024 0 repositories listed
• Generalized Sparse Additive Model with Unknown Link Function
  8 Oct 2024 0 repositories listed
• The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research
  7 Oct 2024 0 repositories listed
• Solving FDR-Controlled Sparse Regression Problems with Five Million Variables on a Laptop
  27 Sep 2024 0 repositories listed
• Fractional Naive Bayes (FNB): non-convex optimization for a parsimonious weighted selective naive Bayes classifier
  17 Sep 2024 0 repositories listed
• Model-independent variable selection via the rule-based variable priority
  13 Sep 2024 0 repositories listed
• Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
  30 Aug 2024 0 repositories listed
• Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes
  24 Jul 2024 0 repositories listed
• Credit Ratings: Heterogeneous Effect on Capital Structure
  27 Jun 2024 0 repositories listed
• Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression
  26 Jun 2024 0 repositories listed
• International Trade Flow Prediction with Bilateral Trade Provisions
  23 Jun 2024 0 repositories listed
• Fast leave-one-cluster-out cross-validation using clustered Network Information Criterion (NICc)
  30 May 2024 0 repositories listed
• Hybrid Reinforcement Learning Framework for Mixed-Variable Problems
  30 May 2024 0 repositories listed
• Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection
  5 May 2024 0 repositories listed
• Optimal Bias-Correction and Valid Inference in High-Dimensional Ridge Regression: A Closed-Form Solution
  1 May 2024 0 repositories listed
• Probabilistic forecasting of power system imbalance using neural network-based ensembles
  23 Apr 2024 0 repositories listed

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced; each line links to that paper's sample list. Syntology's record for this page has not changed since 2026-09-28, the first build that kept a record date for it; when this build read Syntology's graph is in the build record. For agents: get_harvested_code_for_paper(arxiv_id) lists each paper's samples; how to connect.