Search Results for author: Fengshi Niu

Found 3 papers, 1 papers with code

Differentially Private Estimation of Heterogeneous Causal Effects

1 code implementation22 Feb 2022 Fengshi Niu, Harsha Nori, Brian Quistorff, Rich Caruana, Donald Ngwe, Aadharsh Kannan

Our meta-algorithm can work with simple, single-stage CATE estimators such as S-learner and more complex multi-stage estimators such as DR and R-learner.

Auction Throttling and Causal Inference of Online Advertising Effects

no code implementations30 Dec 2021 George Gui, Harikesh Nair, Fengshi Niu

Causally identifying the effect of digital advertising is challenging, because experimentation is expensive, and observational data lacks random variation.

Causal Inference

Minimax Risk and Uniform Convergence Rates for Nonparametric Dyadic Regression

no code implementations15 Dec 2020 Bryan S. Graham, Fengshi Niu, James L. Powell

Second, we calculate (i) pointwise and (ii) uniform convergence rates for the dyadic analog of the familiar Nadaraya-Watson (NW) kernel regression estimator.

Statistics Theory Econometrics Statistics Theory 62G08, 49K35, 91D30

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