Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning.
Milad SefidgaranRomain ChorAbdellatif ZaidiPublished in: CoRR (2022)
Keyphrases
- distributed learning
- rate distortion
- generalization error
- upper bound
- generalization error bounds
- training error
- rate distortion theory
- bit rate
- video coding
- lower bound
- cross validation
- active learning
- model selection
- motion estimation
- sample complexity
- learning algorithm
- training data
- sample size
- training set
- vc dimension
- computational complexity
- collaborative learning
- rate control
- worst case
- distributed video coding
- supervised learning
- subband
- information theory
- generalization bounds
- boosting algorithms
- data mining
- reinforcement learning
- data dependent
- image data
- visual quality
- multi class