Yifan Cui

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University of Pennsylvania

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Dimension Reduction Forests: Local Variable Importance using Structured Random Forests

Random forests are one of the most popular machine learning methods due ...
03/24/2021 ∙ by Joshua Daniel Loyal, et al. ∙ 0 ∙ share

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Semiparametric proximal causal inference

Skepticism about the assumption of no unmeasured confounding, also known...
11/17/2020 ∙ by Yifan Cui, et al. ∙ 0 ∙ share

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On a necessary and sufficient identification condition of optimal treatment regimes with an instrumental variable

Unmeasured confounding is a threat to causal inference and individualize...
10/07/2020 ∙ by Yifan Cui, et al. ∙ 0 ∙ share

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An Introduction to Proximal Causal Learning

A standard assumption for causal inference from observational data is th...
09/23/2020 ∙ by Eric J. Tchetgen Tchetgen, et al. ∙ 0 ∙ share

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A fiducial approach to nonparametric deconvolution problem: discrete case

Fiducial inference, as generalized by Hannig 2016 et al, is applied to n...
06/09/2020 ∙ by Yifan Cui, et al. ∙ 0 ∙ share

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A Simple Weighted Approach for Instrumental Variable Estimation of Marginal Structural Mean Models

Robins 1997 introduced marginal structural models (MSMs), a general clas...
04/24/2020 ∙ by Haben Michael, et al. ∙ 0 ∙ share

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Estimating heterogeneous treatment effects with right-censored data via causal survival forests

There is fast-growing literature on estimating heterogeneous treatment e...
01/27/2020 ∙ by Yifan Cui, et al. ∙ 1 ∙ share

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A semiparametric instrumental variable approach to optimal treatment regimes under endogeneity

There is a fast-growing literature on estimating optimal treatment regim...
11/21/2019 ∙ by Yifan Cui, et al. ∙ 0 ∙ share

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Bias-aware model selection for machine learning of doubly robust functionals

While model selection is a well-studied topic in parametric and nonparam...
11/05/2019 ∙ by Yifan Cui, et al. ∙ 0 ∙ share

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Marginal Structural Models for Time-varying Endogenous Treatments: A Time-Varying Instrumental Variable Approach

Robins (1998) introduced marginal structural models (MSMs), a general cl...
09/14/2018 ∙ by Eric J. Tchetgen Tchetgen, et al. ∙ 0 ∙ share

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