The Exact Sample Complexity Gain from Invariances for Kernel Regression.
Behrooz TahmasebiStefanie JegelkaPublished in: NeurIPS (2023)
Keyphrases
- sample complexity
- kernel regression
- theoretical analysis
- learning problems
- learning tasks
- regression model
- nadaraya watson
- upper bound
- supervised learning
- pac learning
- learning algorithm
- generalization error
- lower bound
- active learning
- special case
- regression methods
- training examples
- linear regression
- sample size
- parameter optimization
- unsupervised learning
- training data
- machine learning algorithms
- data sets
- evolutionary algorithm
- feature space
- machine learning