| 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 |
| Active Learning for Regression Using Greedy Sampling | Aug 8, 2018 | Active LearningDiversity | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| A hybrid ensemble method with negative correlation learning for regression | Apr 6, 2021 | Diversityregression | CodeCode Available | 0 | 5 |
| Ensembles of Probabilistic Regression Trees | Jun 20, 2024 | regression | CodeCode Available | 0 | 5 |
| Probabilistic Traffic Forecasting with Dynamic Regression | Jan 17, 2023 | regressionTime Series | CodeCode Available | 0 | 5 |
| Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods | Jul 24, 2024 | regression | CodeCode Available | 0 | 5 |
| EnergyStar++: Towards more accurate and explanatory building energy benchmarking | Oct 30, 2019 | Benchmarkingenergy management | CodeCode Available | 0 | 5 |
| Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels | Oct 8, 2023 | regression | CodeCode Available | 0 | 5 |