| Variable Selection via Thompson Sampling | Jul 1, 2020 | BIG-bench Machine LearningInterpretable Machine Learning | —Unverified | 0 | 0 |
| Variable Selection with Random Survival Forest and Bayesian Additive Regression Tree for Survival Data | Oct 4, 2019 | regressionSurvival Analysis | —Unverified | 0 | 0 |
| Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon | Dec 3, 2019 | Uncertainty QuantificationVariable Selection | —Unverified | 0 | 0 |
| Variable Selection with the Knockoffs: Composite Null Hypotheses | Mar 6, 2022 | Variable Selection | —Unverified | 0 | 0 |
| Variational Bayes for high-dimensional linear regression with sparse priors | Apr 15, 2019 | Model Selectionregression | —Unverified | 0 | 0 |
| Variational empirical Bayes variable selection in high-dimensional logistic regression | Feb 14, 2025 | regressionVariable Selection | —Unverified | 0 | 0 |
| VC-PCR: A Prediction Method based on Supervised Variable Selection and Clustering | Feb 2, 2022 | ClusteringPrediction | —Unverified | 0 | 0 |
| VolTS: A Volatility-based Trading System to forecast Stock Markets Trend using Statistics and Machine Learning | Jul 25, 2023 | Variable Selection | —Unverified | 0 | 0 |
| What drives bitcoin? An approach from continuous local transfer entropy and deep learning classification models | Sep 2, 2021 | feature selectionVariable Selection | —Unverified | 0 | 0 |
| Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection | Apr 20, 2022 | PredictionVariable Selection | —Unverified | 0 | 0 |
