1 Introduction
2 Background: Structure Prediction
3 Latent Structure Prediction
4 Surrogate Gradients
5 Continuous Differentiable Relaxation
6 Marginal Likelihood Maximization via Sampling
7 Applications
8 What is Latently Learned?
9 Conclusion