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05/22/2023
Semi-Supervised Causal Inference: Generalizable and Double Robust Inference for Average Treatment Effects under Selection Bias with Decaying Overlap
Average treatment effect (ATE) estimation is an essential problem in the...
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01/25/2022
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings
We consider quantile estimation in a semi-supervised setting, characteri...
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01/03/2022
A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings
In this article, we aim to provide a general and complete understanding ...
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04/14/2021
Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap
Semi-supervised (SS) inference has received much attention in recent yea...
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11/26/2019
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
We consider high dimensional M-estimation in settings where the response...
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09/27/2018
Inference for Individual Mediation Effects and Interventional Effects in Sparse High-Dimensional Causal Graphical Models
We consider the problem of identifying intermediate variables (or mediat...
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04/08/2018
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression
Concentration inequalities form an essential toolkit in the study of hig...
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01/18/2017
Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes
We consider the recovery of regression coefficients, denoted by β_0, for...
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01/17/2017