9 citations · 16 across the 7 of their papers we have counts for
12 papers
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…
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…
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…
Online Discrepancy Minimization via Persistent Self-Balancing Walks
David Arbour, Drew Dimmery, Tung Mai +1
We study the online discrepancy minimization problem for vectors in in the oblivious setting where an adversary is allowed fix the vectors in…
Heterogeneous Graphlets
Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza +4
In this paper, we introduce a generalization of graphlets to heterogeneous networks called typed graphlets. Informally, typed graphlets are small typed induced subgraphs. Typed gra…