14 citations · 22 across the 5 of their papers we have counts for
5 papers
Data-Driven Estimation of Heterogeneous Treatment Effects
Christopher Tran, Keith Burghardt, Kristina Lerman +1
Estimating how a treatment affects different individuals, known as heterogeneous treatment effect estimation, is an important problem in empirical sciences. In the last few years,…
Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty
Christopher Tran, Elena Zheleva
Estimating how a treatment affects units individually, known as heterogeneous treatment effect (HTE) estimation, is an essential part of decision-making and policy implementation.…
Heterogeneous Peer Effects in the Linear Threshold Model
Christopher Tran, Elena Zheleva
The Linear Threshold Model is a widely used model that describes how information diffuses through a social network. According to this model, an individual adopts an idea or product…
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game
Yuzi He, Christopher Tran, Julie Jiang +4
The popularity of online gaming has grown dramatically, driven in part by streaming and the billion-dollar e-sports industry. Online games regularly update their software to fix bu…
Learning Triggers for Heterogeneous Treatment Effects
Christopher Tran, Elena Zheleva
The causal effect of a treatment can vary from person to person based on their individual characteristics and predispositions. Mining for patterns of individual-level effect differ…