| Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images | Jun 14, 2022 | DiagnosticImage Quality Assessment | CodeCode Available | 0 | 5 |
| Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models | Feb 6, 2014 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 | 5 |
| Distributional Adaptive Soft Regression Trees | Oct 19, 2022 | regression | CodeCode Available | 0 | 5 |
| On Instrumental Variable Regression for Deep Offline Policy Evaluation | May 21, 2021 | regressionReinforcement Learning (RL) | CodeCode Available | 0 | 5 |
| Automated Problem Identification: Regression vs Classification via Evolutionary Deep Networks | Jul 3, 2017 | BIG-bench Machine LearningClassification | CodeCode Available | 0 | 5 |
| Online Asynchronous Distributed Regression | Jul 16, 2014 | Distributed Computingregression | CodeCode Available | 0 | 5 |
| Adaptive piecewise polynomial estimation via trend filtering | Apr 10, 2013 | regression | CodeCode Available | 0 | 5 |
| Online Sampling from Log-Concave Distributions | Feb 21, 2019 | regression | CodeCode Available | 0 | 5 |
| On Low-rank Trace Regression under General Sampling Distribution | Apr 18, 2019 | Matrix CompletionMulti-Task Learning | CodeCode Available | 0 | 5 |
| Distributed Time-Varying Gaussian Regression via Kalman Filtering | Apr 21, 2025 | regression | CodeCode Available | 0 | 5 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | CodeCode Available | 0 | 5 |
| Compositional Human Pose Regression | Apr 1, 2017 | 3D Human Pose Estimation3D Pose Estimation | CodeCode Available | 0 | 5 |
| Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features | Jun 10, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| A probabilistic and multi-objective analysis of lexicase selection and epsilon-lexicase selection | Sep 15, 2017 | Program Synthesisregression | CodeCode Available | 0 | 5 |
| Distributed linear regression by averaging | Sep 30, 2018 | regression | CodeCode Available | 0 | 5 |
| On the Discovery of Feature Importance Distribution: An Overlooked Area | Jan 1, 2021 | Feature Importanceregression | CodeCode Available | 0 | 5 |
| On the Equivalence between Neural Network and Support Vector Machine | Nov 11, 2021 | regression | CodeCode Available | 0 | 5 |
| Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery | May 13, 2024 | quantile regressionregression | CodeCode Available | 0 | 5 |
| Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection Constraints | Mar 1, 2018 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| On the Soundness of XAI in Prognostics and Health Management (PHM) | Apr 24, 2023 | Explainable Artificial Intelligence (XAI)Management | CodeCode Available | 0 | 5 |
| On the Universality of the Double Descent Peak in Ridgeless Regression | Oct 5, 2020 | regression | CodeCode Available | 0 | 5 |
| On Tractable Computation of Expected Predictions | Oct 5, 2019 | FairnessImputation | CodeCode Available | 0 | 5 |
| Distributed Function Minimization in Apache Spark | Sep 17, 2019 | General Classificationregression | CodeCode Available | 0 | 5 |
| Optimal algorithms for smooth and strongly convex distributed optimization in networks | Feb 28, 2017 | Distributed Optimizationregression | CodeCode Available | 0 | 5 |
| Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization | Sep 18, 2022 | regression | CodeCode Available | 0 | 5 |
