Consistent Structured Prediction with Max-Min Margin Markov Networks.
Alex NowakFrancis R. BachAlessandro RudiPublished in: ICML (2020)
Keyphrases
- max min
- structured prediction
- markov networks
- maximum margin
- graphical models
- maximum likelihood
- first order logic
- belief propagation
- structured output
- conditional random fields
- bayesian networks
- bayesian inference
- probabilistic model
- markov random field
- hidden variables
- support vector
- document classification
- posterior probability
- conditional probabilities
- inductive logic programming
- support vector machine
- efficient learning
- probabilistic inference
- convex optimization
- probability distribution
- background knowledge
- prior knowledge
- learning algorithm