Learning Sparsity of Representations with Discrete Latent Variables.

Zhao Xu Daniel Oñoro-Rubio Giuseppe Serra Mathias Niepert

Published in: CoRR (2023)

Keyphrases

latent variables
latent variable models
structural svms
supervised learning
structured output
prior knowledge
structured prediction
hidden variables
random variables
hierarchical model
bayesian networks
reinforcement learning
active learning
sparse representation
learning problems