2 papers
cs.LG2026
Information Hidden in Gradients of Regression with Target Noise
Arash Jamshidi, Katsiaryna Haitsiukevich, Kai Puolamäki
Second-order information -- such as curvature or data covariance -- is critical for optimisation, diagnostics, and robustness. However, in many modern settings, only the gradients…
cs.LG2024
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction
Anri Patron, Ayush Prasad, Hoang Phuc Hau Luu +1
A fundamental problem in supervised learning is to find a good set of features or distance measures. If the new set of features is of lower dimensionality and can be obtained by a…