Gecia Bravo Hermsdorff

According to our database, Gecia Bravo Hermsdorff authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Causal Models for Growing Networks.

Gecia Bravo Hermsdorff, Kayvan Sadeghi, Lee M. Gunderson

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments.

Jordan Penn, Lee M. Gunderson, Gecia Bravo Hermsdorff, Ricardo Silva, David S. Watson

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Bounding causal effects with leaky instruments.

David S. Watson, Jordan Penn, Lee M. Gunderson, Gecia Bravo Hermsdorff, Afsaneh Mastouri, Ricardo Silva

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

Quantifying Network Similarity using Graph Cumulants.

Gecia Bravo Hermsdorff, Lee M. Gunderson, Pierre-André G. Maugis, Carey E. Priebe

J. Mach. Learn. Res., 2023

Intervention Generalization: A View from Factor Graph Models.

Gecia Bravo Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models.

Lee M. Gunderson, Gecia Bravo Hermsdorff, Peter Orbanz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Quantifying Human Priors over Social and Navigation Networks.

Gecia Bravo Hermsdorff

Proceedings of the International Conference on Machine Learning, 2023

2022

Statistical anonymity: Quantifying reidentification risks without reidentifying users.

Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Lee M. Gunderson, Andrés Muñoz Medina, Umar Syed

CoRR, 2022

Private and Communication-Efficient Algorithms for Entropy Estimation.

Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andrés Muñoz Medina, Umar Syed

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A principled (and practical) test for network comparison.

Gecia Bravo Hermsdorff, Lee M. Gunderson, Pierre-André G. Maugis, Carey E. Priebe

CoRR, 2021

2020

Introducing Graph Cumulants: What is the Kurtosis of your Social Network?

Lee M. Gunderson, Gecia Bravo Hermsdorff

CoRR, 2020

2019

Gender and collaboration patterns in a temporal scientific authorship network.

Gecia Bravo Hermsdorff, Valkyrie Felso, Emily Ray, Lee M. Gunderson, Mary E. Helander, Joana Maria, Yael Niv

Appl. Netw. Sci., 2019

A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening.

Gecia Bravo Hermsdorff, Lee M. Gunderson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019