Learning via Wasserstein-Based High Probability Generalisation Bounds.
Paul ViallardMaxime HaddoucheUmut SimsekliBenjamin GuedjPublished in: NeurIPS (2023)
Keyphrases
- learning process
- wide range
- learning systems
- learning algorithm
- reinforcement learning
- supervised learning
- online learning
- incremental learning
- graphical models
- bayes rule
- inductive inference
- learning analytics
- inductive learning
- background knowledge
- markov chain
- knowledge acquisition
- neural network
- active learning
- support vector
- case study
- social networks
- machine learning