1 citations · 2 across the 4 of their papers we have counts for
4 papers
Counterfactual Learning with Multioutput Deep Kernels
Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
In this paper, we address the challenge of performing counterfactual inference with observational data via Bayesian nonparametric regression adjustment, with a focus on high-dimens…
Interpretable Deep Causal Learning for Moderation Effects
Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
In this extended abstract paper, we address the problem of interpretability and targeted regularization in causal machine learning models. In particular, we focus on the problem of…
Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation
Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
This paper develops a sparsity-inducing version of Bayesian Causal Forests, a recently proposed nonparametric causal regression model that employs Bayesian Additive Regression Tree…
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review
Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
Large observational data are increasingly available in disciplines such as health, economic and social sciences, where researchers are interested in causal questions rather than pr…