Combining observational and experimental data to find heterogeneous treatment effects

8 November 2016

Papers citing "Combining observational and experimental data to find heterogeneous treatment effects"

5 / 5 papers shown

Title
A Fast Bootstrap Algorithm for Causal Inference with Large Data Matthew Kosko Lung-Chuang Wang Michele Santacatterina CML 22 5 0 06 Feb 2023
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes Leon Yao Caroline Lo Israel Nir S. Tan Ariel Evnine Adam Lerer A. Peysakhovich CML 29 6 0 10 Jun 2022
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters Carlos Fernández-Loría F. Provost CML 13 42 0 08 Apr 2021
Combining Observational and Experimental Datasets Using Shrinkage Estimators Evan T. R. Rosenman Guillaume W. Basse Art B. Owen Mike Baiocchi CML 24 62 0 16 Feb 2020
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 69 728 0 24 May 2017