| 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 |
| Causal Feature Learning in the Social Sciences | Mar 17, 2025 | Causal InferenceVariable Selection | CodeCode Available | 0 | 5 |
| Improving Network Slimming with Nonconvex Regularization | Oct 3, 2020 | compressed sensingimage-classification | CodeCode Available | 0 | 5 |
| Covariance and PCA for Categorical Variables | Nov 28, 2007 | Variable 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 |
| Copula Entropy based Variable Selection for Survival Analysis | Sep 4, 2022 | Survival AnalysisVariable Selection | CodeCode Available | 0 | 5 |
| Co-data Learning for Bayesian Additive Regression Trees | Nov 16, 2023 | PredictionPrognosis | CodeCode Available | 0 | 5 |
| Cross-Validation with Confidence | Mar 23, 2017 | Model SelectionVariable Selection | 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 |
| RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features | Nov 11, 2022 | Stochastic OptimizationVariable Selection | CodeCode Available | 0 | 5 |
| Robust Boosting for Regression Problems | Feb 6, 2020 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection | Sep 20, 2021 | Bayesian OptimizationVariable 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 Spike-and-Slab | Apr 4, 2022 | Variable Selection | CodeCode Available | 0 | 5 |
| Scalable variable selection for two-view learning tasks with projection operators | Jul 4, 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 |
| Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation | Feb 12, 2021 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Semiparametric discrete data regression with Monte Carlo inference and prediction | Oct 23, 2021 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Sparse online variational Bayesian regression | Feb 24, 2021 | Bayesian Inferenceregression | CodeCode Available | 0 | 5 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 | 5 |
| Sparsifying Bayesian neural networks with latent binary variables and normalizing flows | May 5, 2023 | Machine TranslationVariable 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 |
