32 citations · 55 across the 9 of their papers we have counts for
10 papers
Causal Models for Growing Networks
Gecia Bravo-Hermsdorff, Lee M. Gunderson, Kayvan Sadeghi
Real-world networks grow over time; statistical models based on node exchangeability are not appropriate. Instead of constraining the structure of the \textit{distribution} of edge…
BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments
Jordan Penn, Lee M. Gunderson, Gecia Bravo-Hermsdorff +2
Instrumental variables (IVs) are widely used to estimate causal effects in the presence of unobserved confounding between exposure and outcome. An IV must affect the outcome exclus…
Bounding Causal Effects with Leaky Instruments
David S. Watson, Jordan Penn, Lee M. Gunderson +3
Instrumental variables (IVs) are a popular and powerful tool for estimating causal effects in the presence of unobserved confounding. However, classical approaches rely on strong a…
The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models
Lee M Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz
In this work, we describe a method that determines an exact map from a finite set of subgraph densities to the parameters of a stochastic block model (SBM) matching these densities…
Statistical anonymity: Quantifying reidentification risks without reidentifying users
Gecia Bravo-Hermsdorff, Robert Busa-Fekete, Lee M. Gunderson +2
Data anonymization is an approach to privacy-preserving data release aimed at preventing participants reidentification, and it is an important alternative to differential privacy i…
Quantifying Network Similarity using Graph Cumulants
Gecia Bravo-Hermsdorff, Lee M. Gunderson, Pierre-André Maugis +1
How might one test the hypothesis that networks were sampled from the same distribution? Here, we compare two statistical tests that use subgraph counts to address this question. T…
Gender and collaboration patterns in a temporal scientific authorship network
Gecia Bravo-Hermsdorff, Valkyrie Felso, Emily Ray +4
One can point to a variety of historical milestones for gender equality in STEM (science, technology, engineering, and mathematics), however, practical effects are incremental and…
Introducing Graph Cumulants: What is the Variance of Your Social Network?
Lee M. Gunderson, Gecia Bravo-Hermsdorff
In an increasingly interconnected world, understanding and summarizing the structure of these networks becomes increasingly relevant. However, this task is nontrivial; proposed sum…
A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening
Gecia Bravo-Hermsdorff, Lee M. Gunderson
How might one "reduce" a graph? That is, generate a smaller graph that preserves the global structure at the expense of discarding local details? There has been extensive work on b…
A model of solar equilibrium: the hydrodynamic limit
Lee Gunderson, Amitava Bhattacharjee
Helioseismology has revealed the internal density and rotation profiles of the Sun. Yet, knowledge of its magnetic fields and meridional circulation is confined much closer to the…