Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation.
Adrien VacherFrançois-Xavier VialardPublished in: NeurIPS (2022)
Keyphrases
- model selection
- parameter tuning
- cross validation
- ink bleed
- hyperparameters
- parameter estimation
- sample size
- mixture model
- regression model
- bayesian learning
- motion segmentation
- error estimation
- generalization error
- model selection criteria
- feature selection
- selection criterion
- bayesian model selection
- statistical learning
- variable selection
- gaussian process
- machine learning
- optimal solution
- data mining
- neural network
- worst case
- statistical inference
- evolutionary algorithm
- leave one out cross validation