Approximation and Structured Prediction with Sparse Wasserstein Barycenters.
Minh-Hieu DoJean FeydyOlga MulaPublished in: CoRR (2023)
Keyphrases
- structured prediction
- maximum margin
- conditional random fields
- markov networks
- convex optimization
- latent variables
- approximate inference
- belief networks
- high dimensional
- higher order
- graphical models
- machine learning
- closed form
- probabilistic model
- belief propagation
- learning algorithm
- kernel methods
- maximum a posteriori
- segmentation method
- sparse representation
- training samples
- markov random field
- least squares