NIPS Proceedingsβ

Joris M. Mooij

9 Papers

  • Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions (2018)
  • Causal Effect Inference with Deep Latent-Variable Models (2017)
  • Ancestral Causal Inference (2016)
  • Efficient inference in matrix-variate Gaussian models with \iid observation noise (2011)
  • On Causal Discovery with Cyclic Additive Noise Models (2011)
  • Probabilistic latent variable models for distinguishing between cause and effect (2010)
  • Bounds on marginal probability distributions (2008)
  • Nonlinear causal discovery with additive noise models (2008)
  • Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks (2004)