Priebe, Carey E.

12 publications

JMLR 2024 Approximate Information Tests on Statistical Submanifolds Michael W. Trosset, Carey E. Priebe

CoLLAs 2023 Prospective Learning: Principled Extrapolation to the Future Ashwin De Silva, Rahul Ramesh, Lyle Ungar, Marshall Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu Timothy Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein

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

ICCV 2023 Why Do Networks Have Inhibitory/negative Connections? Qingyang Wang, Mike A. Powell, Ali Geisa, Eric Bridgeford, Carey E. Priebe, Joshua T. Vogelstein

ECCV 2022 ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration for Adverse Weather-Affected Images Rajeev Yasarla, Carey E. Priebe, Vishal M. Patel

JMLR 2022 Change Point Localization in Dependent Dynamic Nonparametric Random Dot Product Graphs Oscar Hernan Madrid Padilla, Yi Yu, Carey E. Priebe

JMLR 2021 Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace Jesús Arroyo, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E. Priebe, Joshua T. Vogelstein

JMLR 2021 Limit Theorems for Out-of-Sample Extensions of the Adjacency and Laplacian Spectral Embeddings Keith D. Levin, Fred Roosta, Minh Tang, Michael W. Mahoney, Carey E. Priebe

JMLR 2020 Sparse Projection Oblique Randomer Forests Tyler M. Tomita, James Browne, Cencheng Shen, Jaewon Chung, Jesse L. Patsolic, Benjamin Falk, Carey E. Priebe, Jason Yim, Randal Burns, Mauro Maggioni, Joshua T. Vogelstein

JMLR 2019 On Consistent Vertex Nomination Schemes Vince Lyzinski, Keith Levin, Carey E. Priebe

JMLR 2016 On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching Vince Lyzinski, Keith Levin, Donniell E. Fishkind, Carey E. Priebe

JMLR 2014 Seeded Graph Matching for Correlated Erdos-Renyi Graphs Vince Lyzinski, Donniell E. Fishkind, Carey E. Priebe