5 citations · 5 across the 2 of their papers we have counts for
4 papers
Differentially Private Estimation of Heterogeneous Causal Effects
Fengshi Niu, Harsha Nori, Brian Quistorff +3
Estimating heterogeneous treatment effects in domains such as healthcare or social science often involves sensitive data where protecting privacy is important. We introduce a gener…
Auction Throttling and Causal Inference of Online Advertising Effects
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. This paper identifies a…
Minimax Risk and Uniform Convergence Rates for Nonparametric Dyadic Regression
Bryan S. Graham, Fengshi Niu, James L. Powell
Let index a simple random sample of units drawn from some large population. For each unit we observe the vector of regressors and, for each of the $N\left(N-…
Kernel Density Estimation for Undirected Dyadic Data
Bryan S. Graham, Fengshi Niu, James L. Powell
We study nonparametric estimation of density functions for undirected dyadic random variables (i.e., random variables defined for all n\overset{def}{\equiv}\tbinom{N}{2} unordered…