Carey E. Priebe

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 126

Top Venues

CoRR

J. Mach. Learn. Res.

IEEE Trans. Pattern Anal. Mach. Intell.

Appl. Netw. Sci.

Publications

Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
Edge-Parallel Graph Encoder Embedding. IPDPS (Workshops) (2024)
Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks Using Encoder Embedding and Vertex Dynamics. IEEE Trans. Netw. Sci. Eng. 11 (2) (2024)
Hayden S. Helm, Brandon Duderstadt, Youngser Park, Carey E. Priebe
Tracking the perspectives of interacting language models. CoRR (2024)
Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
Edge-Parallel Graph Encoder Embedding. CoRR (2024)
Cencheng Shen, Jonathan Larson, Ha Trinh, Carey E. Priebe
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery. CoRR (2024)
Anton Alyakin, Joshua Agterberg, Hayden S. Helm, Carey E. Priebe
Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics. Appl. Netw. Sci. 9 (1) (2024)
Robert Osazuwa Ness, Katie Matton, Hayden S. Helm, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz
MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering. CoRR (2024)
Cencheng Shen, Shangsi Wang, Alexandra Badea, Carey E. Priebe, Joshua T. Vogelstein
Discovering the signal subgraph: An iterative screening approach on graphs. Pattern Recognit. Lett. 184 (2024)
Michael W. Trosset, Carey E. Priebe
Continuous Multidimensional Scaling. CoRR (2024)
Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
Synergistic graph fusion via encoder embedding. Inf. Sci. 678 (2024)
Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein
The Value of Out-of-Distribution Data. ICML (2023)
Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Carey E. Priebe, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Marah Ihab Abdin, Piali Choudhury, Weiwei Yang, Christopher W. White
Distance-based positive and unlabeled learning for ranking. Pattern Recognit. 134 (2023)
Hayden S. Helm, Weiwei Yang, Ashwin De Silva, Joshua T. Vogelstein, Carey E. Priebe
Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis. CoRR (2023)
Cencheng Shen, Carey E. Priebe, Jonathan Larson, Ha Trinh
Synergistic Graph Fusion via Encoder Embedding. CoRR (2023)
Hayden S. Helm, Carey E. Priebe, Weiwei Yang
A Statistical Turing Test for Generative Models. CoRR (2023)
Cencheng Shen, Youngser Park, Carey E. Priebe
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. CoRR (2023)
Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski
Subgraph nomination: query by example subgraph retrieval in networks. Stat. Comput. 33 (2) (2023)
Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E. Priebe
Semisupervised regression in latent structure networks on unknown manifolds. CoRR (2023)
Cencheng Shen, Qizhe Wang, Carey E. Priebe
One-Hot Graph Encoder Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Brandon Duderstadt, Hayden S. Helm, Carey E. Priebe
Comparing Foundation Models using Data Kernels. CoRR (2023)
Cencheng Shen, Youngser Park, Carey E. Priebe
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection. ADMIT (2023)
Zhirui Li, Ben Johnson, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
Gotta match 'em all: Solution diversification in graph matching matched filters. CoRR (2023)
Avanti Athreya, Zachary Lubberts, Carey E. Priebe, Youngser Park, Minh Tang, Vince Lyzinski, Michael J. Kane, Bryan Lewis
Numerical Tolerance for Spectral Decompositions of Random Matrices and Applications to Network Inference. J. Comput. Graph. Stat. 32 (1) (2023)
Gecia Bravo Hermsdorff, Lee M. Gunderson, Pierre-André G. Maugis, Carey E. Priebe
Quantifying Network Similarity using Graph Cumulants. J. Mach. Learn. Res. 24 (2023)
Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Youngser Park, Carey E. Priebe
Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics. CoRR (2023)
Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. 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 C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein
Prospective Learning: Principled Extrapolation to the Future. CoLLAs (2023)
Tianyi Chen, Youngser Park, Ali Saad-Eldin, Zachary Lubberts, Avanti Athreya, Benjamin D. Pedigo, Joshua T. Vogelstein, Francesca Puppo, Gabriel A. Silva, Alysson R. Muotri, Weiwei Yang, Christopher M. White, Carey E. Priebe
Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror. Appl. Netw. Sci. 8 (1) (2023)
Cong Mu, Youngser Park, Carey E. Priebe
Dynamic network sampling for community detection. Appl. Netw. Sci. 8 (1) (2023)
Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E. Priebe
Semisupervised regression in latent structure networks on unknown manifolds. Appl. Netw. Sci. 8 (1) (2023)
Qingyang Wang, Michael A. Powell, Ali Geisa, Eric Bridgeford, Carey E. Priebe, Joshua T. Vogelstein
Why do networks have inhibitory/negative connections? ICCV (2023)
Cong Mu, Youngser Park, Carey E. Priebe
Dynamic Network Sampling for Community Detection. CoRR (2022)
Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe
Mental State Classification Using Multi-graph Features. CoRR (2022)
Runbing Zheng, Vince Lyzinski, Carey E. Priebe, Minh Tang
Vertex Nomination Between Graphs via Spectral Embedding and Quadratic Programming. J. Comput. Graph. Stat. 31 (4) (2022)
Kelly Marchisio, Ali Saad-Eldin, Kevin Duh, Carey E. Priebe, Philipp Koehn
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport. EMNLP (2022)
Carey E. Priebe, Ningyuan Huang, Soledad Villar, Cong Mu, Li Chen
Deep Learning is Provably Robust to Symmetric Label Noise. CoRR (2022)
Ningyuan Huang, Soledad Villar, Carey E. Priebe, Da Zheng, Chengyue Huang, Lin Yang, Vladimir Braverman
From Local to Global: Spectral-Inspired Graph Neural Networks. CoRR (2022)
Oscar Hernan Madrid Padilla, Yi Yu, Carey E. Priebe
Change point localization in dependent dynamic nonparametric random dot product graphs. J. Mach. Learn. Res. 23 (2022)
Joshua Agterberg, Zachary Lubberts, Carey E. Priebe
Entrywise Estimation of Singular Vectors of Low-Rank Matrices With Heteroskedasticity and Dependence. IEEE Trans. Inf. Theory 68 (7) (2022)
Rajeev Yasarla, Carey E. Priebe, Vishal Patel
ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration for adverse weather-affected images. CoRR (2022)
Kelly Marchisio, Ali Saad-Eldin, Kevin Duh, Carey E. Priebe, Philipp Koehn
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport. CoRR (2022)
Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
A Simple Spectral Failure Mode for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Rajeev Yasarla, Carey E. Priebe, Vishal M. Patel
ART-SS: An Adaptive Rejection Technique for Semi-supervised Restoration for Adverse Weather-Affected Images. ECCV (18) (2022)
Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein
The Value of Out-of-Distribution Data. CoRR (2022)
Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
Prospective Learning: Back to the Future. CoRR (2022)
Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Zhirui Li, Carey E. Priebe, Vince Lyzinski
Multiplex graph matching matched filters. Appl. Netw. Sci. 7 (1) (2022)
Li Chen, Ningyuan Huang, Cong Mu, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe
Deep Learning with Label Noise: A Hierarchical Approach. CoRR (2022)
Cong Mu, Angelo Mele, Lingxin Hao, Joshua Cape, Avanti Athreya, Carey E. Priebe
On Spectral Algorithms for Community Detection in Stochastic Blockmodel Graphs With Vertex Covariates. IEEE Trans. Netw. Sci. Eng. 9 (5) (2022)
Cencheng Shen, Qizhe Wang, Carey E. Priebe
Graph Encoder Embedding. CoRR (2021)
Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey E. Priebe, Philipp Koehn
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces. CoRR (2021)
Hayden S. Helm, Weiwei Yang, Sujeeth Bharadwaj, Kate Lytvynets, Oriana Riva, Christopher M. White, Ali Geisa, Carey E. Priebe
Inducing a hierarchy for multi-class classification problems. CoRR (2021)
Jesús Arroyo, Carey E. Priebe, Vince Lyzinski
Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question. IEEE Trans. Netw. Sci. Eng. 8 (4) (2021)
Gecia Bravo Hermsdorff, Lee M. Gunderson, Pierre-André G. Maugis, Carey E. Priebe
A principled (and practical) test for network comparison. CoRR (2021)
Shangsi Wang, Jesús Arroyo, Joshua T. Vogelstein, Carey E. Priebe
Joint Embedding of Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 43 (4) (2021)
Zachary Lubberts, Avanti Athreya, Youngser Park, Carey E. Priebe
Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes. CoRR (2021)
Jonathan Larson, Tiona Zuzul, Emily Cox Pahnke, Neha Parikh Shah, Patrick Bourke, Nicholas Caurvina, Fereshteh Amini, Youngser Park, Joshua T. Vogelstein, Jeffrey Weston, Christopher M. White, Carey E. Priebe
Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic. CoRR (2021)
Jesús Arroyo, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. J. Comput. Graph. Stat. 30 (4) (2021)
Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering. J. Comput. Graph. Stat. 30 (2) (2021)
Keith D. Levin, Fred Roosta, Minh Tang, Michael W. Mahoney, Carey E. Priebe
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings. J. Mach. Learn. Res. 22 (2021)
Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey E. Priebe, Philipp Koehn
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces. EMNLP (Findings) (2021)
Ali Saad-Eldin, Benjamin D. Pedigo, Carey E. Priebe, Joshua T. Vogelstein
Graph Matching via Optimal Transport. CoRR (2021)
Donniell E. Fishkind, Felix Parker, Hamilton Sawczuk, Lingyao Meng, Eric Bridgeford, Avanti Athreya, Carey E. Priebe, Vince Lyzinski
The phantom alignment strength conjecture: practical use of graph matching alignment strength to indicate a meaningful graph match. Appl. Netw. Sci. 6 (1) (2021)
Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski
Subgraph nomination: Query by Example Subgraph Retrieval in Networks. CoRR (2021)
Jesús Arroyo, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E. Priebe, Joshua T. Vogelstein
Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace. J. Mach. Learn. Res. 22 (2021)
Hayden S. Helm, Marah Abdin, Benjamin D. Pedigo, Shweti Mahajan, Vince Lyzinski, Youngser Park, Amitabh Basu, Piali Choudhury, Christopher M. White, Weiwei Yang, Carey E. Priebe
Leveraging semantically similar queries for ranking via combining representations. CoRR (2021)
Eric W. Bridgeford, Shangsi Wang, Zeyi Wang, Ting Xu, R. Cameron Craddock, Jayanta Dey, Gregory Kiar, William Gray-Roncal, Carlo Colantuoni, Christopher Douville, Stephanie Noble, Carey E. Priebe, Brian Caffo, Michael Milham, Xi-Nian Zuo, Joshua T. Vogelstein
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS Comput. Biol. 17 (9) (2021)
Ali Geisa, Ronak D. Mehta, Hayden S. Helm, Jayanta Dey, Eric Eaton, Carey E. Priebe, Joshua T. Vogelstein
Towards a theory of out-of-distribution learning. CoRR (2021)
Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe
Geodesic Forests. KDD (2020)
Heather G. Patsolic, Youngser Park, Vince Lyzinski, Carey E. Priebe
Vertex nomination via seeded graph matching. Stat. Anal. Data Min. 13 (3) (2020)
Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Christopher M. White, Carey E. Priebe
A general approach to progressive intelligence. CoRR (2020)
Jesús Arroyo, Carey E. Priebe, Vince Lyzinski
Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question. CoRR (2020)
Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen
A Simple Spectral Failure Mode for Graph Convolutional Networks. CoRR (2020)
Keith D. Levin, Carey E. Priebe, Vince Lyzinski
On the role of features in vertex nomination: Content and context together are better (sometimes). CoRR (2020)
Cong Mu, Angelo Mele, Lingxin Hao, Joshua Cape, Avanti Athreya, Carey E. Priebe
On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates. CoRR (2020)
Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Weiwei Yang, Christopher M. White, Ali Geisa, Joshua T. Vogelstein, Carey E. Priebe
A partition-based similarity for classification distributions. CoRR (2020)
Michael W. Trosset, Mingyue Gao, Minh Tang, Carey E. Priebe
Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs. CoRR (2020)
Tyler M. Tomita, James Browne, Cencheng Shen, Jaewon Chung, Jesse Patsolic, Benjamin Falk, Carey E. Priebe, Jason Yim, Randal C. Burns, Mauro Maggioni, Joshua T. Vogelstein
Sparse Projection Oblique Randomer Forests. J. Mach. Learn. Res. 21 (2020)
Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe
Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption. IEEE Trans. Inf. Theory 66 (8) (2020)
Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Christopher M. White, Carey E. Priebe
Learning to rank via combining representations. CoRR (2020)
Runbing Zheng, Vince Lyzinski, Carey E. Priebe, Minh Tang
Vertex nomination between graphs via spectral embedding and quadratic programming. CoRR (2020)
Nian Wang, Robert J. Anderson, David G. Ashbrook, Vivek Gopalakrishnan, Youngser Park, Carey E. Priebe, Yi Qi, Rick Laoprasert, Joshua T. Vogelstein, Robert W. Williams, G. Allan Johnson
Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains. NeuroImage 222 (2020)
Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford, Keith D. Levin, Donniell E. Fishkind, Carey E. Priebe, Vince Lyzinski
Vertex nomination: The canonical sampling and the extended spectral nomination schemes. Comput. Stat. Data Anal. 145 (2020)
Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski
Matched Filters for Noisy Induced Subgraph Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42 (11) (2020)
Meghana Madhyastha, Percy Li, James Browne, Veronika Strnadová-Neeley, Carey E. Priebe, Randal C. Burns, Joshua T. Vogelstein
Geodesic Learning via Unsupervised Decision Forests. CoRR (2019)
Vince Lyzinski, Keith D. Levin, Carey E. Priebe
On Consistent Vertex Nomination Schemes. J. Mach. Learn. Res. 20 (2019)
Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski
Multiplex graph matching matched filters. IEEE BigData (2019)
Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski
Multiplex graph matching matched filters. CoRR (2019)
Donniell E. Fishkind, Lingyao Meng, Ao Sun, Carey E. Priebe, Vince Lyzinski
Alignment strength and correlation for graphs. Pattern Recognit. Lett. 125 (2019)
Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe
Sparse Representation Classification via Screening for Graphs. CoRR (2019)
Runze Tang, Michael D. Ketcha, Alexandra Badea, Evan D. Calabrese, Daniel S. Margulies, Joshua T. Vogelstein, Carey E. Priebe, Daniel L. Sussman
Connectome Smoothing via Low-Rank Approximations. IEEE Trans. Medical Imaging 38 (6) (2019)
Keith D. Levin, Fred Roosta, Minh Tang, Michael W. Mahoney, Carey E. Priebe
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings. CoRR (2019)
Hayden S. Helm, Joshua T. Vogelstein, Carey E. Priebe
Vertex Classification on Weighted Networks. CoRR (2019)
Ian Gallagher, Anna Bertiger, Carey E. Priebe, Patrick Rubin-Delanchy
Spectral clustering in the weighted stochastic block model. CoRR (2019)
Donniell E. Fishkind, Sancar Adali, Heather G. Patsolic, Lingyao Meng, Digvijay Singh, Vince Lyzinski, Carey E. Priebe
Seeded graph matching. Pattern Recognit. 87 (2019)
Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher M. White, Carey E. Priebe, Vince Lyzinski
Vertex Nomination, Consistent Estimation, and Adversarial Modification. CoRR (2019)
Joshua Cape, Minh Tang, Carey E. Priebe
On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs. Netw. Sci. 7 (3) (2019)
Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
Graphyti: A Semi-External Memory Graph Library for FlashGraph. CoRR (2019)
Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
clusterNOR: A NUMA-Optimized Clustering Framework. CoRR (2019)
Jesús Arroyo, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E. Priebe, Joshua T. Vogelstein
Inference for multiple heterogeneous networks with a common invariant subspace. CoRR (2019)
Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering. CoRR (2019)
Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein
The Exact Equivalence of Independence Testing and Two-Sample Testing. CoRR (2019)

Carey E. Priebe.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Carey E. Priebe