1 citations · 1 across the 2 of their papers we have counts for
4 papers
DoubleGen: Debiased Generative Modeling of Counterfactuals
Alex Luedtke, Kenji Fukumizu
Generative models for counterfactual outcomes face two key sources of bias. Confounding bias arises when approaches fail to account for systematic differences between those who rec…
Coreset selection for the Sinkhorn divergence and generic smooth divergences
Alex Kokot, Alex Luedtke
We introduce CO2, an efficient algorithm to produce convexly-weighted coresets with respect to generic smooth divergences. By employing a functional Taylor expansion, we show a loc…
Causal isotonic calibration for heterogeneous treatment effects
Lars van der Laan, Ernesto Ulloa-Pérez, Marco Carone +1
We propose causal isotonic calibration, a novel nonparametric method for calibrating predictors of heterogeneous treatment effects. Furthermore, we introduce cross-calibration, a d…
Efficient Estimation of the Maximal Association between Multiple Predictors and a Survival Outcome
Tzu-Jung Huang, Alex Luedtke, Ian W. McKeague
This paper develops a new approach to post-selection inference for screening high-dimensional predictors of survival outcomes. Post-selection inference for right-censored outcome d…