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Gecia Bravo-Hermsdorff
Gecia Bravo-Hermsdorff
Research Fellow, Department of Statistical Science, University College London
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
A unifying framework for spectrum-preserving graph sparsification and coarsening
G Bravo Hermsdorff, L Gunderson
Advances in Neural Information Processing Systems 32, 2019
672019
Gender and collaboration patterns in a temporal scientific authorship network
G Bravo-Hermsdorff, V Felso, E Ray, LM Gunderson, ME Helander, ...
Applied Network Science 4, 1-17, 2019
262019
Quantifying network similarity using graph cumulants
G Bravo-Hermsdorff, LM Gunderson, PA Maugis, CE Priebe
Journal of Machine Learning Research 24 (187), 1-27, 2023
8*2023
Introducing Graph Cumulants: What is the Variance of your Social Network?
LM Gunderson, G Bravo-Hermsdorff
arXiv preprint arXiv:2002.03959, 2020
72020
Intervention Generalization: A View from Factor Graph Models
G Bravo-Hermsdorff, D Watson, J Yu, J Zeitler, R Silva
https://proceedings. neurips. cc//, 2023
22023
Private and Communication-Efficient Algorithms for Entropy Estimation
G Bravo-Hermsdorff, RI Busa-Fekete, M Ghavamzadeh, U Syed
Advances in Neural Information Processing Systems, 2022
22022
Quantifying Human Priors over Abstract Relational Structures
G Bravo-Hermsdorff
Princeton University, 2020
12020
Bounding Causal Effects with Leaky Instruments
DS Watson, J Penn, LM Gunderson, G Bravo-Hermsdorff, A Mastouri, ...
arXiv preprint arXiv:2404.04446, 2024
2024
The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models
L Gunderson, G Bravo-Hermsdorff, P Orbanz
Advances in Neural Information Processing Systems 36, 2024
2024
The Pairwise Prony Algorithm: Efficient Inference of Stochastic Block Models with Prescribed Subgraph Densities
LM Gunderson, G Bravo-Hermsdorff, P Orbanz
ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023
2023
Quantifying human priors over social and navigation networks
G Bravo-Hermsdorff
International Conference on Machine Learning, 3063-3105, 2023
2023
Statistical anonymity: Quantifying reidentification risks without reidentifying users
G Bravo-Hermsdorff, R Busa-Fekete, LM Gunderson, AM Medina, U Syed
arXiv preprint arXiv:2201.12306, 2022
2022
Dynamics of timescales on complex lattices
A El Hady, G Bravo-Hermsdorff
Bulletin of the American Physical Society 65, 2020
2020
Modeling the Hemodynamic Response Function for Prediction Errors in the Ventral Striatum
G Bravo-Hermsdorff, Y Niv
bioRxiv, 800136, 2019
2019
Quantifying Humans’ Priors Over Graphical Representations of Tasks
GB Hermsdorff, T Pereira, Y Niv
Unifying Themes in Complex Systems IX: Proceedings of the Ninth …, 2018
2018
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