2019
Learning Models from Data with Measurement Error: Tackling Underreporting
ICML 2019oral
Measurement error in observational datasets can lead to systematic bias in inferences based on these datasets. As studies based on observational data are increasingly used to inform decisions with real-world impact, it is critical that we develop a robust set of techniques for analyzing and adjustin…