estimators
Statistical methods or calculations used to derive estimates of unknown parameters based on observed data, critical for making inferences and guiding decision-making in machine learning applications.
- Learning single index models via harmonic decomposition
- Neural Mutual Information Estimation with Vector Copulas
- Ridge Boosting is Both Robust and Efficient
- The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
- Theoretical Insights into In-context Learning with Unlabeled Data