36 citations · 93 across the 11 of their papers we have counts for
3 papers · 1 filter
Survival Estimation for Missing not at Random Censoring Indicators based on Copula Models
Mikael Escobar-Bach, Olivier Goudet
In the presence of right-censored data with covariates, the conditional Kaplan-Meier estimator (also known as the Beran estimator) consistently estimates the conditional survival f…
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon +2
A new causal discovery method, Structural Agnostic Modeling (SAM), is presented in this paper. Leveraging both conditional independencies and distributional asymmetries, SAM aims t…
Causal Generative Neural Networks
Olivier Goudet, Diviyan Kalainathan, Philippe Caillou +3
We present Causal Generative Neural Networks (CGNNs) to learn functional causal models from observational data. CGNNs leverage conditional independencies and distributional asymmet…