| A Generalization of Convolutional Neural Networks to Graph-Structured Data | Apr 26, 2017 | General Classificationregression | CodeCode Available | 0 | 5 |
| A generalizable approach for multi-view 3D human pose regression | Apr 27, 2018 | 3D Pose EstimationPose Estimation | CodeCode Available | 0 | 5 |
| Active Learning for Non-Parametric Regression Using Purely Random Trees | Dec 1, 2018 | Active LearningBinary Classification | CodeCode Available | 0 | 5 |
| Active Learning for Manifold Gaussian Process Regression | Jun 26, 2025 | Active LearningDimensionality Reduction | CodeCode Available | 0 | 5 |
| Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction | Jul 22, 2024 | regressionvalid | CodeCode Available | 0 | 5 |
| Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression | Oct 3, 2024 | regression | CodeCode Available | 0 | 5 |
| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 | 5 |
| Epsilon-Lexicase Selection for Regression | May 30, 2019 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System Identification of Underlying Dynamic Equations | Oct 6, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| EOLO: Embedded Object Segmentation only Look Once | Mar 31, 2020 | Distance regressionGPU | CodeCode Available | 0 | 5 |
| Environment Invariant Linear Least Squares | Mar 6, 2023 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 | 5 |
| A general framework for ensemble distribution distillation | Feb 26, 2020 | regression | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| Active Labeling: Streaming Stochastic Gradients | May 26, 2022 | Active Learningregression | CodeCode Available | 0 | 5 |
| Linear and Quadratic Discriminant Analysis: Tutorial | Jun 1, 2019 | Dimensionality ReductionGeneral Classification | CodeCode Available | 0 | 5 |
| Ensembles of Probabilistic Regression Trees | Jun 20, 2024 | regression | CodeCode Available | 0 | 5 |
| Fast, Provable Algorithms for Isotonic Regression in all _p-norms | Jul 2, 2015 | Allregression | CodeCode Available | 0 | 5 |
| Probabilistic Traffic Forecasting with Dynamic Regression | Jan 17, 2023 | regressionTime Series | CodeCode Available | 0 | 5 |
| Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels | Oct 8, 2023 | regression | CodeCode Available | 0 | 5 |
| Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening | Feb 15, 2022 | regression | CodeCode Available | 0 | 5 |
| Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods | Jul 24, 2024 | regression | CodeCode Available | 0 | 5 |
| Enhancing naive classifier for positive unlabeled data based on logistic regression approach | Jun 5, 2023 | regression | CodeCode Available | 0 | 5 |
| End-to-End Probabilistic Inference for Nonstationary Audio Analysis | Jan 31, 2019 | Audio Signal Processingregression | CodeCode Available | 0 | 5 |
| 3D Human Pose Regression using Graph Convolutional Network | May 21, 2021 | 3D Human Pose Estimation3D Pose Estimation | CodeCode Available | 0 | 5 |
