Relating Regularization and Generalization through the Intrinsic Dimension of Activations.
Bradley C. A. BrownJordan JuravskyAnthony L. CateriniGabriel Loaiza-GanemPublished in: CoRR (2022)
Keyphrases
- intrinsic dimension
- high dimensions
- intrinsic dimensionality
- diffusion maps
- dimension reduction
- similarity search
- data distribution
- high dimensional data
- low dimensional
- nearest neighbor
- machine learning
- data mining
- multi dimensional
- supervised learning
- least squares
- nonlinear dimensionality reduction
- decision trees