Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression.
Lechao XiaoHong HuTheodor MisiakiewiczYue LuJeffrey PenningtonPublished in: NeurIPS (2022)
Keyphrases
- kernel regression
- learning curves
- dot product
- higher order
- learning curve
- average case
- regression model
- similarity function
- kernel function
- feature space
- linear regression
- learning algorithm
- gaussian processes
- markov random field
- random graphs
- pairwise
- genetic programming
- machine learning
- conditional random fields
- probabilistic model
- active learning