Generalization Bounds and Algorithms for Learning to Communicate over Additive Noise Channels.
Nir WeinbergerPublished in: CoRR (2021)
Keyphrases
- learning algorithm
- additive noise
- generalization bounds
- data dependent
- learning problems
- computational complexity
- noisy images
- supervised learning
- learning tasks
- learning machines
- pattern recognition
- learning theory
- reinforcement learning
- kernel machines
- maximum likelihood
- theoretical analysis
- machine learning algorithms
- machine learning