Lee Gunderson

2 accepted papers

2024

Bounding causal effects with leaky instruments

David Watson, Jordan Penn, Lee Gunderson, Gecia Bravo-Hermsdorff, Afsaneh Mastouri, Ricardo Silva

UAI 2024poster

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 assumptions such as the

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2019

A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening

Gecia Bravo Hermsdorff, Lee Gunderson

NeurIPS 2019poster

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 both graph sparsification (removing edges) and graph coarsening (merging nodes, often by edge contraction); however,…

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