225 citations · 278 across the 5 of their papers we have counts for
8 papers
New Estimands for Experiments with Strong Interference
David Choi
In experiments that study social phenomena, such as peer influence or herd immunity, the treatment of one unit may influence the outcomes of others. Such "interference between unit…
Using Exposure Mappings as Side Information in Experiments with Interference
David Choi
Exposure mappings are widely used to model potential outcomes in the presence of interference, where each unit's outcome may depend not only on its own treatment, but also on the t…
A Semidefinite Program for Structured Blockmodels
David Choi
Semidefinite programs have recently been developed for the problem of community detection, which may be viewed as a special case of the stochastic blockmodel. Here, we develop a se…
Co-clustering of Nonsmooth Graphons
David Choi
Performance bounds are given for exploratory co-clustering/ blockmodeling of bipartite graph data, where we assume the rows and columns of the data matrix are samples from an arbit…
Co-clustering separately exchangeable network data
David Choi, Patrick J. Wolfe
This article establishes the performance of stochastic blockmodels in addressing the co-clustering problem of partitioning a binary array into subsets, assuming only that the data…
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter Bickel, David Choi, Xiangyu Chang +1
Variational methods for parameter estimation are an active research area, potentially offering computationally tractable heuristics with theoretical performance bounds. We build on…