Learning Theory of Distribution Regression with Neural Networks.
Zhongjie ShiZhan YuDing-Xuan ZhouPublished in: CoRR (2023)
Keyphrases
- learning theory
- neural network
- reproducing kernel hilbert space
- computational learning theory
- regression model
- instructional design
- concept classes
- automata theory
- theoretical computer science
- artificial neural networks
- model selection
- widely applicable
- input pattern
- pac learning
- databases
- generalization bounds
- neural network model
- regression problems
- loss function
- concept class
- density estimation
- feature selection
- back propagation
- cross validation