3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Variational Auto-Encoder Architectures that Excel at Causal Inference
Negar Hassanpour, Russell Greiner
Estimating causal effects from observational data (at either an individual -- or a population -- level) is critical for making many types of decisions. One approach to address this…
cs.LG2019★ 3 cited
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation
Zichen Zhang, Qingfeng Lan, Lei Ding +3
Counterfactual reasoning is an important paradigm applicable in many fields, such as healthcare, economics, and education. In this work, we propose a novel method to address the is…