Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning.
Milad SefidgaranRomain ChorAbdellatif ZaidiPublished in: NeurIPS (2022)
Keyphrases
- rate distortion
- distributed learning
- generalization error
- upper bound
- generalization error bounds
- training error
- bit rate
- rate distortion theory
- video coding
- lower bound
- sample complexity
- cross validation
- learning algorithm
- motion estimation
- training data
- model selection
- active learning
- computational complexity
- collaborative learning
- rate control
- sample size
- vc dimension
- supervised learning
- worst case
- knowledge integration
- training set
- distributed video coding
- error rate
- data sets
- motion vectors
- feature selection
- image quality
- neural network