A General Theory for Structured Prediction with Smooth Convex Surrogates.
Alex Nowak-VilaFrancis R. BachAlessandro RudiPublished in: CoRR (2019)
Keyphrases
- general theory
- structured prediction
- convex optimization
- maximum margin
- conditional random fields
- morphological operators
- efficient learning
- markov networks
- convex hull
- latent variables
- belief networks
- stable models
- approximate inference
- image restoration
- learning algorithm
- hyperplane
- multi task
- total variation
- markov random field
- object oriented
- support vector
- artificial intelligence