| Environment Invariant Linear Least Squares | Mar 6, 2023 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex Penalties | Sep 22, 2020 | DenoisingImage Denoising | CodeCode Available | 0 | 5 |
| AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment | Feb 25, 2025 | Multi-Task LearningVariable Selection | CodeCode Available | 0 | 5 |
| metboost: Exploratory regression analysis with hierarchically clustered data | Feb 13, 2017 | MathMissing Values | CodeCode Available | 0 | 5 |
| Accuracy and stability of solar variable selection comparison under complicated dependence structures | Jul 30, 2020 | Graph Learningregression | CodeCode Available | 0 | 5 |
| Multiple Testing and Variable Selection along the path of the Least Angle Regression | Jun 28, 2019 | Model Selectionregression | CodeCode Available | 0 | 5 |
| Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control | Nov 4, 2022 | Open-Ended Question AnsweringVariable Selection | CodeCode Available | 0 | 5 |
| Detection of evolutionary shifts in variance under an Ornsten-Uhlenbeck model | Dec 29, 2023 | Variable Selection | CodeCode Available | 0 | 5 |
| A sparse negative binomial mixture model for clustering RNA-seq count data | Dec 5, 2019 | Clusteringfeature selection | CodeCode Available | 0 | 5 |
| Iteratively Reweighted _1-Penalized Robust Regression | Jul 9, 2019 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data | Sep 29, 2021 | feature selectionUncertainty Quantification | CodeCode Available | 0 | 5 |
| A deep learning pipeline for cross-sectional and longitudinal multiview data integration | Dec 2, 2023 | Data IntegrationVariable Selection | CodeCode Available | 0 | 5 |
| Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection Constraints | Mar 1, 2018 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Deep Knockoffs | Nov 16, 2018 | Variable Selection | CodeCode Available | 0 | 5 |
| Covariance and PCA for Categorical Variables | Nov 28, 2007 | Variable Selection | CodeCode Available | 0 | 5 |
| DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM | Apr 5, 2024 | Deep Learningfeature selection | CodeCode Available | 0 | 5 |
| DOLDA - a regularized supervised topic model for high-dimensional multi-class regression | Jan 31, 2016 | General ClassificationMulti-class Classification | CodeCode Available | 0 | 5 |
| Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection | Sep 20, 2021 | Bayesian OptimizationVariable Selection | CodeCode Available | 0 | 5 |
| Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective | Aug 30, 2023 | Variable Selection | CodeCode Available | 0 | 5 |
| Semiparametric discrete data regression with Monte Carlo inference and prediction | Oct 23, 2021 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Accurate Dictionary Learning with Direct Sparsity Control | Oct 1, 2018 | Dictionary Learningfeature selection | CodeCode Available | 0 | 5 |
| Copula Entropy based Variable Selection for Survival Analysis | Sep 4, 2022 | Survival AnalysisVariable Selection | CodeCode Available | 0 | 5 |
| Cross-Validation with Confidence | Mar 23, 2017 | Model SelectionVariable Selection | CodeCode Available | 0 | 5 |
| AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes | Feb 17, 2022 | Decision MakingInterpretable Machine Learning | CodeCode Available | 0 | 5 |
| AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data | Jun 13, 2021 | BIG-bench Machine LearningInterpretable Machine Learning | CodeCode Available | 0 | 5 |
| BART: Bayesian additive regression trees | Jun 19, 2008 | Causal InferenceDrug Discovery | CodeCode Available | 0 | 5 |
| Deep neural networks with controlled variable selection for the identification of putative causal genetic variants | Sep 29, 2021 | Computational Efficiencyfeature selection | CodeCode Available | 0 | 5 |
| Bayesian Approaches to Shrinkage and Sparse Estimation | Dec 22, 2021 | Bayesian Inferencequantile regression | CodeCode Available | 0 | 5 |
| Combinatorial Bayesian Optimization using the Graph Cartesian Product | Feb 1, 2019 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 0 | 5 |
| Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large p | Oct 17, 2024 | Benchmarkingregression | CodeCode Available | 0 | 5 |
| An Expectation Conditional Maximization approach for Gaussian graphical models | Sep 20, 2017 | Variable Selection | CodeCode Available | 0 | 5 |
| Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification | Mar 17, 2025 | PrognosisSurvival Prediction | CodeCode Available | 0 | 5 |
| Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net | Sep 25, 2017 | Bayesian Inferenceregression | CodeCode Available | 0 | 5 |
| Comorbid anxiety predicts lower odds of depression improvement during smartphone-delivered psychotherapy | Sep 16, 2024 | Interpretable Machine LearningVariable Selection | CodeCode Available | 0 | 5 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 | 5 |
| Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes | Nov 8, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 | 5 |
| Flexible mean field variational inference using mixtures of non-overlapping exponential families | Oct 14, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 | 5 |
| Flexible variable selection in the presence of missing data | Feb 25, 2022 | ImputationVariable Selection | CodeCode Available | 0 | 5 |
| FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features | Jun 17, 2020 | ClusteringComputational Efficiency | CodeCode Available | 0 | 5 |
| Granger Causality Testing in High-Dimensional VARs: a Post-Double-Selection Procedure | Feb 28, 2019 | Variable Selection | CodeCode Available | 0 | 5 |
| Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives | Apr 14, 2021 | Sparse LearningVariable Selection | CodeCode Available | 0 | 5 |
| Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction | Aug 21, 2019 | Variable Selection | CodeCode Available | 0 | 5 |
| Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection | Jan 29, 2023 | validVariable Selection | CodeCode Available | 0 | 5 |
| Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression | Sep 15, 2023 | Prediction Intervalsregression | CodeCode Available | 0 | 5 |
| Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit | May 27, 2021 | Variable Selection | CodeCode Available | 0 | 5 |
| Bolasso: model consistent Lasso estimation through the bootstrap | Apr 8, 2008 | modelModel Selection | CodeCode Available | 0 | 5 |
| Boosting Joint Models for Longitudinal and Time-to-Event Data | Sep 9, 2016 | Variable Selection | CodeCode Available | 0 | 5 |
| Interpretable Classification of Bacterial Raman Spectra with Knockoff Wavelets | Jun 8, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| INVASE: Instance-wise Variable Selection using Neural Networks | May 1, 2019 | feature selectionVariable Selection | CodeCode Available | 0 | 5 |
| Causal Feature Learning in the Social Sciences | Mar 17, 2025 | Causal InferenceVariable Selection | CodeCode Available | 0 | 5 |