Bravo-Hermsdorff, Gecia

9 publications

AISTATS 2025 BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments Jordan Penn, Lee M. Gunderson, Gecia Bravo-Hermsdorff, Ricardo Silva, David Watson

UAI 2025 Causal Models for Growing Networks Gecia Bravo-Hermsdorff, Kayvan Sadeghi, Lee M. Gunderson

UAI 2024 Bounding Causal Effects with Leaky Instruments David Watson, Jordan Penn, Lee Gunderson, Gecia Bravo-Hermsdorff, Afsaneh Mastouri, Ricardo Silva

NeurIPS 2023 Intervention Generalization: A View from Factor Graph Models Gecia Bravo-Hermsdorff, David Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva

ICML 2023 Quantifying Human Priors over Social and Navigation Networks Gecia Bravo-Hermsdorff

JMLR 2023 Quantifying Network Similarity Using Graph Cumulants Gecia Bravo-Hermsdorff, Lee M. Gunderson, Pierre-André Maugis, Carey E. Priebe

NeurIPS 2023 The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models Lee Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz

ICMLW 2023 The Pairwise Prony Algorithm: Efficient Inference of Stochastic Block Models with Prescribed Subgraph Densities Lee M. Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz

NeurIPS 2022 Private and Communication-Efficient Algorithms for Entropy Estimation Gecia Bravo-Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andres Munoz Medina, Umar Syed