Structured Neural Networks for Density Estimation and Causal Inference

Structured Neural Networks for Density Estimation and Causal Inference

3 November 2023

Xiang Gao

Ricardo Baptista

Rahul G. Krishnan

Papers citing "Structured Neural Networks for Density Estimation and Causal Inference"

5 / 5 papers shown

Title
Normalizing Flows for Interventional Density Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 42 18 0 13 Sep 2022
Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows Sourabh Vivek Balgi J. Peña Adel Daoud 19 4 0 17 Feb 2022
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 32 72 0 06 Dec 2021
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling Gianluigi Silvestri Emily Fertig David A. Moore L. Ambrogioni BDL TPM AI4CE 23 3 0 12 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015