On the Fundamental Limits of Exact Inference in Structured Prediction.
Hanbyul LeeKevin BelloJean HonorioPublished in: CoRR (2021)
Keyphrases
- structured prediction
- exact inference
- approximate inference
- maximum margin
- conditional random fields
- efficient learning
- markov networks
- belief networks
- latent variables
- machine learning
- probabilistic inference
- convex optimization
- graphical models
- support vector
- computer vision
- belief propagation
- maximum likelihood
- text mining
- special case
- bayesian networks