Deep Sketched Output Kernel Regression for Structured Prediction.
Tamim El AhmadJunjie YangPierre LaforgueFlorence d'Alché-BucPublished in: CoRR (2024)
Keyphrases
- kernel regression
- structured prediction
- maximum margin
- conditional random fields
- regression model
- efficient learning
- approximate inference
- linear regression
- markov networks
- latent variables
- convex optimization
- regression methods
- maximum entropy
- input data
- hidden markov models
- learning algorithm
- markov random field
- active learning
- parameter optimization
- prior knowledge