| Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies | Oct 12, 2022 | Privacy Preservingquantile regression | CodeCode Available | 0 | 5 |
| Data Augmentation for Imbalanced Regression | Feb 18, 2023 | Data Augmentationregression | CodeCode Available | 0 | 5 |
| Differentially Private Distributed Bayesian Linear Regression with MCMC | Jan 31, 2023 | Bayesian InferencePrivacy Preserving | CodeCode Available | 0 | 5 |
| Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning | Oct 6, 2023 | PredictionPrediction Intervals | CodeCode Available | 0 | 5 |
| Differentially Private Bayesian Linear Regression | Oct 29, 2019 | regression | CodeCode Available | 0 | 5 |
| Distilling Governing Laws and Source Input for Dynamical Systems from Videos | May 3, 2022 | regression | CodeCode Available | 0 | 5 |
| Differentially Private Ensemble Classifiers for Data Streams | Dec 9, 2021 | regression | CodeCode Available | 0 | 5 |
| Distributed and parallel time series feature extraction for industrial big data applications | Oct 25, 2016 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Distributed Coordinate Descent for L1-regularized Logistic Regression | Nov 24, 2014 | regression | CodeCode Available | 0 | 5 |
| CVA Sensitivities, Hedging and Risk | Jul 26, 2024 | regression | CodeCode Available | 0 | 5 |