most citedConvolutional neural networks for valid and efficient causal inference

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2023★ 3 cited

Convolutional neural networks for valid and efficient causal inference

Mohammad Ghasempour, Niloofar Moosavi, Xavier de Luna

Convolutional neural networks (CNN) have been successful in machine learning applications. Their success relies on their ability to consider space invariant local features. We cons…

stat.CO2021

SDRcausal: an R package for causal inference based on sufficient dimension reduction

Mohammad Ghasempour, Xavier de Luna

SDRcausal is a package that implements sufficient dimension reduction methods for causal inference as proposed in Ghosh, Ma, and de Luna (2021). The package implements (augmented)…