| Automatic Componentwise Boosting: An Interpretable AutoML System | Sep 12, 2021 | AutoMLFeature Importance | —Unverified | 0 |
| Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection | Sep 12, 2021 | Feature Importancefeature selection | —Unverified | 0 |
| Model Explanations via the Axiomatic Causal Lens | Sep 8, 2021 | Feature Importancemodel | CodeCode Available | 0 |
| Optimizing model-agnostic Random Subspace ensembles | Sep 7, 2021 | Feature Importancefeature selection | CodeCode Available | 0 |
| Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process | Sep 3, 2021 | BIG-bench Machine LearningFeature Importance | —Unverified | 0 |
| Inferring feature importance with uncertainties in high-dimensional data | Sep 2, 2021 | Feature ImportanceVocal Bursts Intensity Prediction | CodeCode Available | 0 |
| Feature Importance in a Deep Learning Climate Emulator | Aug 27, 2021 | Deep LearningFeature Importance | —Unverified | 0 |
| Data-driven advice for interpreting local and global model predictions in bioinformatics problems | Aug 13, 2021 | Feature Importance | —Unverified | 0 |
| Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition | Aug 11, 2021 | AttributeFairness | —Unverified | 0 |
| Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf | Aug 9, 2021 | Feature Importance | —Unverified | 0 |
