The Exact Sample Complexity Gain from Invariances for Kernel Regression on Manifolds.
Behrooz TahmasebiStefanie JegelkaPublished in: CoRR (2023)
Keyphrases
- sample complexity
- kernel regression
- theoretical analysis
- learning problems
- upper bound
- regression model
- learning tasks
- supervised learning
- nadaraya watson
- special case
- active learning
- lower bound
- learning algorithm
- generalization error
- regression methods
- training examples
- sample size
- linear regression
- euclidean space
- parameter optimization
- feature space
- artificial neural networks
- decision trees