Learning latent variable structured prediction models with Gaussian perturbations

Kevin Bello, Jean Honorio

Neural Information Processing Systems 

We extend this work by including latent variables. We study a new family of loss functions under Gaussian perturbations and analyze the effect of the latent space on the generalization bounds.

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