| A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data | May 5, 2020 | Decision MakingVariable Selection | CodeCode Available | 0 | 5 |
| Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational Perspectives | Dec 16, 2022 | Multi-Task LearningVariable 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 |
| Covariance and PCA for Categorical Variables | Nov 28, 2007 | Variable Selection | CodeCode Available | 0 | 5 |
| Non-parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical Evaluation | Oct 17, 2023 | Causal DiscoveryVariable Selection | CodeCode Available | 0 | 5 |
| A Splicing Approach to Best Subset of Groups Selection | Apr 23, 2021 | Variable Selection | 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 |
| Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit | May 27, 2021 | Variable Selection | CodeCode Available | 0 | 5 |
| Ordering-Based Causal Discovery with Reinforcement Learning | May 14, 2021 | Causal DiscoveryDecoder | CodeCode Available | 0 | 5 |
| Co-data Learning for Bayesian Additive Regression Trees | Nov 16, 2023 | PredictionPrognosis | CodeCode Available | 0 | 5 |
| Combinatorial Bayesian Optimization using the Graph Cartesian Product | Feb 1, 2019 | Bayesian OptimizationNeural Architecture Search | 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 |
| Proximal Iteration for Nonlinear Adaptive Lasso | Dec 7, 2024 | Variable Selection | CodeCode Available | 0 | 5 |
| Reversible Jump PDMP Samplers for Variable Selection | Oct 22, 2020 | Variable Selection | CodeCode Available | 0 | 5 |
| Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection | Sep 20, 2021 | Bayesian OptimizationVariable Selection | CodeCode Available | 0 | 5 |
| Robust Lasso-Zero for sparse corruption and model selection with missing covariates | May 12, 2020 | Missing ValuesModel Selection | CodeCode Available | 0 | 5 |
| Scalable Gaussian-process regression and variable selection using Vecchia approximations | Feb 25, 2022 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Scalable Importance Tempering and Bayesian Variable Selection | May 1, 2018 | Variable Selection | CodeCode Available | 0 | 5 |
| Copula Entropy based Variable Selection for Survival Analysis | Sep 4, 2022 | Survival AnalysisVariable Selection | CodeCode Available | 0 | 5 |
| Semi-Analytic Resampling in Lasso | Feb 28, 2018 | 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 |
| Solving Mixed Integer Programs Using Neural Networks | Dec 23, 2020 | Variable Selection | CodeCode Available | 0 | 5 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 | 5 |
| Sparse online variational Bayesian regression | Feb 24, 2021 | Bayesian Inferenceregression | CodeCode Available | 0 | 5 |
| Cross-Validation with Confidence | Mar 23, 2017 | Model SelectionVariable Selection | CodeCode Available | 0 | 5 |
