Applying statistical learning theory to deep learning.
Cédric GerbelotAvetik KaragulyanStefani KarpKavya RavichandranMenachem SternNathan SrebroPublished in: CoRR (2023)
Keyphrases
- deep learning
- statistical learning theory
- machine learning
- unsupervised learning
- statistical learning
- supervised classification
- support vector machine
- theoretical framework
- learning problems
- inductive inference
- kernel machines
- weakly supervised
- mental models
- pattern recognition
- granular computing
- machine learning algorithms
- supervised learning
- vc dimension
- learning algorithm
- feature selection
- data sets
- semi supervised learning
- object recognition
- reinforcement learning