Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction.
Giulia LuiseDimitrios StamosMassimiliano PontilCarlo CilibertoPublished in: ICML (2019)
Keyphrases
- low rank
- structured prediction
- convex optimization
- maximum margin
- matrix factorization
- missing data
- linear combination
- semi supervised
- conditional random fields
- high order
- singular value decomposition
- high dimensional data
- markov networks
- latent variables
- multi task
- total variation
- approximate inference
- data sets
- bayesian networks
- efficient learning
- learning algorithm