37 citations · 78 across the 38 of their papers we have counts for
8 papers · 1 filter
Sample Constrained Treatment Effect Estimation
Raghavendra Addanki, David Arbour, Tung Mai +2
Treatment effect estimation is a fundamental problem in causal inference. We focus on designing efficient randomized controlled trials, to accurately estimate the effect of some tr…
Learning Relational Causal Models with Cycles through Relational Acyclification
Ragib Ahsan, David Arbour, Elena Zheleva
In real-world phenomena which involve mutual influence or causal effects between interconnected units, equilibrium states are typically represented with cycles in graphical models.…
Non-Parametric Inference of Relational Dependence
Ragib Ahsan, Zahra Fatemi, David Arbour +1
Independence testing plays a central role in statistical and causal inference from observational data. Standard independence tests assume that the data samples are independent and…
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities
Vishwa Vinay, Manoj Kilaru, David Arbour
Search engines and recommendation systems attempt to continually improve the quality of the experience they afford to their users. Refining the ranker that produces the lists displ…
Bayesian Modeling of Marketing Attribution
Ritwik Sinha, David Arbour, Aahlad Manas Puli
In a multi-channel marketing world, the purchase decision journey encounters many interactions (e.g., email, mobile notifications, display advertising, social media, and so on). Th…
Online Balanced Experimental Design
David Arbour, Drew Dimmery, Tung Mai +1
e consider the experimental design problem in an online environment, an important practical task for reducing the variance of estimates in randomized experiments which allows for g…
Off-Policy Evaluation in Embedded Spaces
Jaron J. R. Lee, David Arbour, Georgios Theocharous
Off-policy evaluation methods are important in recommendation systems and search engines, where data collected under an existing logging policy is used to estimate the performance…
Relational Causal Models with Cycles:Representation and Reasoning
Ragib Ahsan, David Arbour, Elena Zheleva
Causal reasoning in relational domains is fundamental to studying real-world social phenomena in which individual units can influence each other's traits and behavior. Dynamics bet…