| A gradient-based variable selection for binary classification in reproducing kernel Hilbert space | Sep 29, 2021 | Binary ClassificationVariable Selection | —Unverified | 0 |
| Deep neural networks with controlled variable selection for the identification of putative causal genetic variants | Sep 29, 2021 | Computational Efficiencyfeature selection | CodeCode Available | 0 |
| Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis | Sep 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection | Sep 20, 2021 | Bayesian OptimizationVariable Selection | CodeCode Available | 0 |
| Differentially Private Variable Selection via the Knockoff Filter | Sep 12, 2021 | Variable Selection | —Unverified | 0 |
| Variable Selection for Causal Inference via Outcome-Adaptive Random Forest | Sep 9, 2021 | Causal InferenceVariable Selection | —Unverified | 0 |
| What drives bitcoin? An approach from continuous local transfer entropy and deep learning classification models | Sep 2, 2021 | feature selectionVariable Selection | —Unverified | 0 |
| Double Machine Learning and Automated Confounder Selection -- A Cautionary Tale | Aug 25, 2021 | BIG-bench Machine LearningModel Selection | —Unverified | 0 |
| Exclusive Group Lasso for Structured Variable Selection | Aug 23, 2021 | Variable Selection | CodeCode Available | 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 |
| Bayesian forecast combination using time-varying features | Aug 4, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Data-Driven Constitutive Relation Reveals Scaling Law for Hydrodynamic Transport Coefficients | Aug 1, 2021 | regressionRelation | —Unverified | 0 |
| Estimating high-dimensional Markov-switching VARs | Jul 27, 2021 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 |
| LocalGLMnet: interpretable deep learning for tabular data | Jul 23, 2021 | Deep LearningFeature Engineering | —Unverified | 0 |
| Inference for High Dimensional Censored Quantile Regression | Jul 22, 2021 | Epidemiologyquantile regression | CodeCode Available | 0 |
| Order Book Queue Hawkes-Markovian Modeling | Jul 20, 2021 | Model SelectionVariable Selection | —Unverified | 0 |
| Decoupling Shrinkage and Selection for the Bayesian Quantile Regression | Jul 18, 2021 | quantile regressionregression | —Unverified | 0 |
| Correlation scenarios and correlation stress testing | Jul 14, 2021 | Variable Selection | —Unverified | 0 |
| Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression | Jul 7, 2021 | regressionVariable Selection | CodeCode Available | 0 |
| Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression | Jun 28, 2021 | regressionVariable Selection | CodeCode Available | 1 |
| The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time | Jun 23, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 |
| Sparsistent Model Discovery | Jun 22, 2021 | modelModel Discovery | CodeCode Available | 0 |
| Semiparametric count data regression for self-reported mental health | Jun 16, 2021 | Nutritionregression | —Unverified | 0 |
| 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 |
| Bayesian Boosting for Linear Mixed Models | Jun 9, 2021 | Bayesian InferenceModel Selection | —Unverified | 0 |