| Catching Change-points with Lasso | Dec 1, 2007 | Variable Selection | —Unverified | 0 | 0 |
| Causal nearest neighbor rules for optimal treatment regimes | Nov 22, 2017 | Causal InferenceVariable Selection | —Unverified | 0 | 0 |
| CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference | Apr 7, 2024 | Causal InferenceDimensionality Reduction | —Unverified | 0 | 0 |
| CFD-Based Quantification of Hemodynamic Variables in Cerebral Aneurysms: How Hemodynamics Shape Aneurysm Fate | May 5, 2025 | Variable Selection | —Unverified | 0 | 0 |
| Closed-form Estimators for High-dimensional Generalized Linear Models | Dec 1, 2015 | FormVariable Selection | —Unverified | 0 | 0 |
| Comparison of Machine Learning Models in Food Authentication Studies | May 17, 2019 | BIG-bench Machine LearningDimensionality Reduction | —Unverified | 0 | 0 |
| Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework | Jul 25, 2018 | PredictionPrognosis | —Unverified | 0 | 0 |
| Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior | Mar 30, 2024 | Transfer LearningVariable Selection | —Unverified | 0 | 0 |
| Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series | Apr 30, 2025 | Causal DiscoveryTime Series | —Unverified | 0 | 0 |
| Conditional Variable Selection for Intelligent Test | Jul 1, 2022 | Variable Selection | —Unverified | 0 | 0 |
| Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models | Aug 14, 2013 | regressionVariable Selection | —Unverified | 0 | 0 |
| Confounder Selection via Support Intersection | Dec 25, 2019 | Variable Selection | —Unverified | 0 | 0 |
| Consistent selection of tuning parameters via variable selection stability | Aug 16, 2012 | regressionVariable Selection | —Unverified | 0 | 0 |
| Consistent support recovery for high-dimensional diffusions | Jan 28, 2025 | Variable Selection | —Unverified | 0 | 0 |
| Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant | Oct 5, 2021 | Variable Selection | —Unverified | 0 | 0 |
| Controlling false discoveries in high-dimensional situations: Boosting with stability selection | Nov 5, 2014 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 | 0 |
| Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery | Jan 30, 2023 | Model Discoveryregression | —Unverified | 0 | 0 |
| Correlation scenarios and correlation stress testing | Jul 14, 2021 | Variable Selection | —Unverified | 0 | 0 |
| Counterfactual Generation with Knockoffs | Feb 1, 2021 | counterfactualVariable Selection | —Unverified | 0 | 0 |
| Credit Ratings: Heterogeneous Effect on Capital Structure | Jun 27, 2024 | Causal InferenceVariable Selection | —Unverified | 0 | 0 |
| Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance | Dec 10, 2015 | Variable Selection | —Unverified | 0 | 0 |
| Data-driven forecasting of solar irradiance | Jan 10, 2018 | Predictionregression | —Unverified | 0 | 0 |
| Data-Driven Constitutive Relation Reveals Scaling Law for Hydrodynamic Transport Coefficients | Aug 1, 2021 | regressionRelation | —Unverified | 0 | 0 |
| Data-driven model selection within the matrix completion method for causal panel data models | Feb 2, 2024 | Matrix CompletionModel Selection | —Unverified | 0 | 0 |
| Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset | Sep 23, 2013 | Implicit Relationsregression | —Unverified | 0 | 0 |
| Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks | May 17, 2018 | Variable Selection | —Unverified | 0 | 0 |
| DECOrrelated feature space partitioning for distributed sparse regression | Feb 8, 2016 | parameter estimationregression | —Unverified | 0 | 0 |
| Decoupling Shrinkage and Selection for the Bayesian Quantile Regression | Jul 18, 2021 | quantile regressionregression | —Unverified | 0 | 0 |
| Deep Inception Networks: A General End-to-End Framework for Multi-asset Quantitative Strategies | Jul 7, 2023 | Time SeriesVariable Selection | —Unverified | 0 | 0 |
| Deep Learning: A Bayesian Perspective | Jun 1, 2017 | Deep Learningregression | —Unverified | 0 | 0 |
| Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems | May 17, 2021 | Multi-Task LearningVariable Selection | —Unverified | 0 | 0 |
| Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch | Jun 14, 2022 | BIG-bench Machine LearningCombinatorial Optimization | —Unverified | 0 | 0 |
| Deep Variable-Block Chain with Adaptive Variable Selection | Dec 7, 2019 | Variable Selection | —Unverified | 0 | 0 |
| Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning | Mar 9, 2022 | Variable Selection | —Unverified | 0 | 0 |
| Determination of class-specific variables in nonparametric multiple-class classification | May 7, 2022 | ClassificationDecision Making | —Unverified | 0 | 0 |
| Developing an ICU scoring system with interaction terms using a genetic algorithm | Apr 22, 2016 | ICU MortalityMortality Prediction | —Unverified | 0 | 0 |
| Differentially Private Variable Selection via the Knockoff Filter | Sep 12, 2021 | Variable Selection | —Unverified | 0 | 0 |
| Dimensionality Reduction and State Space Systems: Forecasting the US Treasury Yields Using Frequentist and Bayesian VARs | Aug 14, 2021 | Dimensionality ReductionVariable Selection | —Unverified | 0 | 0 |
| Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection | Sep 17, 2020 | Dimensionality ReductionVariable Selection | —Unverified | 0 | 0 |
| DiscoVars: A New Data Analysis Perspective -- Application in Variable Selection for Clustering | Apr 8, 2023 | ClusteringVariable Selection | —Unverified | 0 | 0 |
| Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX | Apr 2, 2014 | Computational EfficiencyVariable Selection | —Unverified | 0 | 0 |
| Double Machine Learning and Automated Confounder Selection -- A Cautionary Tale | Aug 25, 2021 | BIG-bench Machine LearningModel Selection | —Unverified | 0 | 0 |
| Dynamic sparsity on dynamic regression models | Sep 29, 2020 | regressionVariable Selection | —Unverified | 0 | 0 |
| Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing | Sep 13, 2019 | Decision MakingFeature Engineering | —Unverified | 0 | 0 |
| Economic Forecasts Using Many Noises | Dec 9, 2023 | Dimensionality ReductionVariable Selection | —Unverified | 0 | 0 |
| ecpc: An R-package for generic co-data models for high-dimensional prediction | May 16, 2022 | regressionVariable Selection | —Unverified | 0 | 0 |
| Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms | Nov 30, 2021 | regressionVariable Selection | —Unverified | 0 | 0 |
| Efficient Clustering of Correlated Variables and Variable Selection in High-Dimensional Linear Models | Mar 11, 2016 | ClusteringVariable Selection | —Unverified | 0 | 0 |
| Efficient hinging hyperplanes neural network and its application in nonlinear system identification | May 15, 2019 | regressionVariable Selection | —Unverified | 0 | 0 |
| Efficient Regularized Piecewise-Linear Regression Trees | Jun 29, 2019 | GPUregression | —Unverified | 0 | 0 |