1 citations · 1 across the 1 of their papers we have counts for
4 papers
Causal Duration Analysis with Diff-in-Diff
Ben Deaner, Hyejin Ku
In economic program evaluation, it is common to obtain panel data in which outcomes are indicators that an individual has reached an absorbing state. For example, they may indicate…
Density Ratio-based Proxy Causal Learning Without Density Ratios
Bariscan Bozkurt, Ben Deaner, Dimitri Meunier +2
We address the setting of Proxy Causal Learning (PCL), which has the goal of estimating causal effects from observed data in the presence of hidden confounding. Proxy methods accom…
When unlearning is free: leveraging low influence points to reduce computational costs
Anat Kleiman, Robert Fisher, Ben Deaner +1
As concerns around data privacy in machine learning grow, the ability to unlearn, or remove, specific data points from trained models becomes increasingly important. While state of…
Extrapolation in Regression Discontinuity Design Using Comonotonicity
Ben Deaner, Soonwoo Kwon
We present a novel approach for extrapolating causal effects away from the margin between treatment and non-treatment in sharp regression discontinuity designs with multiple covari…