| Distance Estimation Methods for a Practical Macroscale Molecular Communication System | Sep 27, 2019 | parameter estimationregression | CodeCode Available | 0 | 5 |
| Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows | May 27, 2020 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Adaptive Concentration of Regression Trees, with Application to Random Forests | Mar 22, 2015 | Model Selectionregression | CodeCode Available | 0 | 5 |
| Discrete-Constrained Regression for Local Counting Models | Jul 20, 2022 | Age EstimationClassification | CodeCode Available | 0 | 5 |
| AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings | May 20, 2025 | Dimensionality Reductionregression | CodeCode Available | 0 | 5 |
| Discovery of sparse hysteresis models for piezoelectric materials | Feb 10, 2023 | regression | CodeCode Available | 0 | 5 |
| Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning | May 25, 2017 | Feature Engineeringregression | CodeCode Available | 0 | 5 |
| Direct Regression of Distortion Field from a Single Fingerprint Image | Apr 26, 2024 | regression | CodeCode Available | 0 | 5 |
| Asymptotically Optimal Exact Minibatch Metropolis-Hastings | Jun 20, 2020 | regression | CodeCode Available | 0 | 5 |
| Asymptotically free sketched ridge ensembles: Risks, cross-validation, and tuning | Oct 6, 2023 | PredictionPrediction Intervals | CodeCode Available | 0 | 5 |
| Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity | May 22, 2024 | Denoisingregression | CodeCode Available | 0 | 5 |
| Direct side information learning for zero-shot regression | Feb 2, 2024 | global-optimizationimage-classification | CodeCode Available | 0 | 5 |
| Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression | Aug 17, 2023 | Age EstimationDepth Aleatoric Uncertainty Estimation | 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 |
| Dimensionality reduction, regularization, and generalization in overparameterized regressions | Nov 23, 2020 | Data PoisoningDimensionality Reduction | CodeCode Available | 0 | 5 |
| Differentially Private Post-Processing for Fair Regression | May 7, 2024 | Density EstimationFairness | CodeCode Available | 0 | 5 |
| Diffusion Counterfactuals for Image Regressors | Mar 26, 2025 | counterfactualDenoising | CodeCode Available | 0 | 5 |
| Dimension Reduction and MARS | Feb 11, 2023 | Dimensionality Reductionregression | CodeCode Available | 0 | 5 |
| Differentially Private Ensemble Classifiers for Data Streams | Dec 9, 2021 | regression | CodeCode Available | 0 | 5 |
| Differentially Private Distributed Bayesian Linear Regression with MCMC | Jan 31, 2023 | Bayesian InferencePrivacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Image Classification from Features | Nov 24, 2022 | Classificationimage-classification | CodeCode Available | 0 | 5 |
| Differentially Private Bayesian Linear Regression | Oct 29, 2019 | regression | CodeCode Available | 0 | 5 |
| Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks | Sep 23, 2022 | regressionVariational Inference | CodeCode Available | 0 | 5 |
| Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies | Oct 12, 2022 | Privacy Preservingquantile regression | CodeCode Available | 0 | 5 |
| Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation | Jan 31, 2023 | GPUPrivacy Preserving | CodeCode Available | 0 | 5 |
