Structured Prediction for Conditional Meta-Learning.
Ruohan WangYiannis DemirisCarlo CilibertoPublished in: NeurIPS (2020)
Keyphrases
- meta learning
- structured prediction
- inductive learning
- learning tasks
- maximum margin
- efficient learning
- model selection
- conditional random fields
- decision trees
- machine learning algorithms
- markov networks
- approximate inference
- latent variables
- machine learning
- belief networks
- metamodel
- data mining
- convex optimization
- base classifiers
- feature selection
- conditional probabilities
- pairwise
- image segmentation
- learning experience
- probabilistic model
- training data