Sample Complexity of Sinkhorn Divergences.
Aude GenevayLénaïc ChizatFrancis R. BachMarco CuturiGabriel PeyréPublished in: AISTATS (2019)
Keyphrases
- sample complexity
- theoretical analysis
- learning problems
- pac learning
- vc dimension
- upper bound
- special case
- learning algorithm
- active learning
- generalization error
- supervised learning
- lower bound
- pac learnability
- sample size
- training examples
- sample complexity bounds
- covering numbers
- irrelevant features
- average case
- concept classes
- number of irrelevant features
- learning theory
- collaborative filtering
- worst case
- small number
- state space
- support vector
- similarity measure
- decision trees