NIPS Proceedingsβ

Jean Honorio

5 Papers

  • Computationally and statistically efficient learning of causal Bayes nets using path queries (2018)
  • Information-theoretic Limits for Community Detection in Network Models (2018)
  • Learning latent variable structured prediction models with Gaussian perturbations (2018)
  • Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity (2017)
  • Sparse and Locally Constant Gaussian Graphical Models (2009)