Differentiable Dynamic Programming for Structured Prediction and Attention.
Arthur MenschMathieu BlondelPublished in: ICML (2018)
Keyphrases
- gaussian process
- structured prediction
- approximate inference
- latent variables
- dynamic programming
- probabilistic model
- bayesian framework
- semi supervised
- maximum margin
- conditional random fields
- efficient learning
- markov networks
- convex optimization
- reinforcement learning
- belief networks
- stereo matching
- random variables
- generative model
- graphical models
- objective function
- input space
- hyperplane
- maximum likelihood
- machine learning
- structured prediction problems