Carey E. Priebe
Identifiers
- name variant Carey E. Priebe 0.60 · backfill
Papers (66)
- Recovering manifold structure in LLM responses through a joint Euclidean mirror stat.ME · 2026 · author #7
- A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation stat.ME · 2025 · author #4
- Graphyti: A Semi-External Memory Graph Library for FlashGraph cs.DC · 2019 · author #3
- Geodesic Learning via Unsupervised Decision Forests stat.ML · 2019 · author #5
- Approximate Information Tests on Statistical Submanifolds math.ST · 2019 · author #2
- On a 'Two Truths' Phenomenon in Spectral Graph Clustering stat.ML · 2018 · author #1
- Bayesian Estimation of Sparse Spiked Covariance Matrices in High Dimensions stat.ME · 2018 · author #3
- On spectral embedding performance and elucidating network structure in stochastic block model graphs math.ST · 2018 · author #3
- Matched Filters for Noisy Induced Subgraph Detection stat.ML · 2018 · author #3
- Out-of-sample extension of graph adjacency spectral embedding stat.ML · 2018 · author #4
- Signal-plus-noise matrix models: eigenvector deviations and fluctuations math.ST · 2018 · author #3
- On consistent vertex nomination schemes stat.ML · 2017 · author #3
- Asymptotically efficient estimators for stochastic blockmodels: the naive MLE, the rank-constrained MLE, and the spectral stat.ME · 2017 · author #3
- Statistical inference on random dot product graphs: a survey stat.ME · 2017 · author #10
- Robust Estimation from Multiple Graphs under Gross Error Contamination stat.ME · 2017 · author #4
- The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics math.ST · 2017 · author #3
- A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference stat.ME · 2017 · author #6
- Consistency of adjacency spectral embedding for the mixed membership stochastic blockmodel stat.ME · 2017 · author #2
- Semiparametric spectral modeling of the Drosophila connectome stat.ML · 2017 · author #1
- Connectome Smoothing via Low-rank Approximations stat.ME · 2016 · author #7
- On the Power of Likelihood Ratio Tests in Dimension-Restricted Submodels math.ST · 2016 · author #3
- Limit theorems for eigenvectors of the normalized Laplacian for random graphs stat.ML · 2016 · author #2
- On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching stat.ML · 2016 · author #4
- knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library cs.DC · 2016 · author #3
- FlashR: R-Programmed Parallel and Scalable Machine Learning using SSDs cs.DC · 2016 · author #4
- The Kato--Temple inequality and eigenvalue concentration with applications to graph inference math.ST · 2016 · author #3
- Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs cs.DC · 2016 · author #5
- An SSD-based eigensolver for spectral analysis on billion-node graphs cs.DC · 2016 · author #4
- Semi-supervised K-means++ stat.ML · 2016 · author #2
- A Joint Graph Inference Case Study: the C.elegans Chemical and Electrical Connectomes stat.AP · 2015 · author #4
- Community Detection and Classification in Hierarchical Stochastic Blockmodels stat.ML · 2015 · author #5
- Fast Embedding for JOFC Using the Raw Stress Criterion stat.ML · 2015 · author #3
- A Model-based Semi-Supervised Clustering Methodology stat.ME · 2014 · author #2
- An Automated Images-to-Graphs Framework for High Resolution Connectomics q-bio.QM · 2014 · author #9
- A nonparametric two-sample hypothesis testing problem for random dot product graphs math.ST · 2014 · author #5
- FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs cs.DC · 2014 · author #5
- Empirical Bayes Estimation for the Stochastic Blockmodel stat.ME · 2014 · author #6
- Graph Matching: Relax at Your Own Risk stat.ML · 2014 · author #5
- A semiparametric two-sample hypothesis testing problem for random dot product graphs stat.ME · 2014 · author #5
- A model selection approach for clustering a multinomial sequence with non-negative factorization stat.ML · 2013 · author #3
- Computing Scalable Multivariate Glocal Invariants of Large (Brain-) Graphs cs.SY · 2013 · author #4
- Robust Hypothesis Testing via Lq-Likelihood stat.AP · 2013 · author #2
- Spectral Clustering for Divide-and-Conquer Graph Matching stat.ML · 2013 · author #8
- Fidelity-Commensurability Tradeoff in Joint Embedding of Disparate Dissimilarities stat.ME · 2013 · author #2
- A central limit theorem for scaled eigenvectors of random dot product graphs math.ST · 2013 · author #4
- Out-of-sample Extension for Latent Position Graphs stat.ML · 2013 · author #3
- Seeded graph matching for correlated Erd\H{o}s-R\'enyi graphs math.OC · 2013 · author #3
- Enhanced Archaeological Predictive Modelling in Space Archaeology stat.AP · 2013 · author #2
- Detecting Time-dependent Structure in Network Data via a New Class of Latent Process Models stat.ME · 2012 · author #2
- Universally consistent vertex classification for latent positions graphs stat.ML · 2012 · author #3
- Statistical inference on errorfully observed graphs stat.ML · 2012 · author #1
- Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants stat.ML · 2012 · author #2
- Generalized Canonical Correlation Analysis for Disparate Data Fusion stat.ML · 2012 · author #2
- Seeded Graph Matching stat.ML · 2012 · author #7
- Universally Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs stat.ML · 2012 · author #3
- Bayesian Vertex Nomination stat.ME · 2012 · author #2
- Consistent adjacency-spectral partitioning for the stochastic block model when the model parameters are unknown stat.ME · 2012 · author #5
- Vertex Nomination via Content and Context stat.AP · 2012 · author #2
- Manifold Matching: Joint Optimization of Fidelity and Commensurability stat.ME · 2011 · author #1
- Fast Approximate Quadratic Programming for Large (Brain) Graph Matching math.OC · 2011 · author #9
- Shuffled Graph Classification: Theory and Connectome Applications q-bio.QM · 2011 · author #2
- Optimizing the quantity/quality trade-off in connectome inference q-bio.NC · 2011 · author #1
- A consistent adjacency spectral embedding for stochastic blockmodel graphs stat.ML · 2011 · author #4
- Graph Classification using Signal-Subgraphs: Applications in Statistical Connectomics stat.AP · 2011 · author #4
- Are mental properties supervenient on brain properties? q-bio.OT · 2009 · author #3
- Relative Density of the Random r-Factor Proximity Catch Digraph for Testing Spatial Patterns of Segregation and Association (Technical Report) math.ST · 2009 · author #2
Mentions
- 1312.4318 #4 · arxiv_oai · confidence 0.70 Carey E. Priebe
- 1507.08376 #4 · backfill · confidence 0.70 Carey E. Priebe
- 1503.02115 #5 · backfill · confidence 0.70 Carey E. Priebe
- 1502.03391 #3 · backfill · confidence 0.70 Carey E. Priebe
- 1412.4841 #2 · backfill · confidence 0.70 Carey E. Priebe
- 1411.6880 #9 · backfill · confidence 0.70 Carey E. Priebe
- 1409.2344 #5 · backfill · confidence 0.70 Carey E. Priebe
- 1408.0500 #5 · backfill · confidence 0.70 Carey E. Priebe
- 1405.6070 #6 · backfill · confidence 0.70 Carey E. Priebe
- 1405.3133 #5 · backfill · confidence 0.70 Carey E. Priebe
- 1403.7249 #5 · backfill · confidence 0.70 Carey E. Priebe
- 1312.7559 #3 · backfill · confidence 0.70 Carey E. Priebe
- 1312.4318 #4 · backfill · confidence 0.70 Carey E. Priebe
- 1310.7278 #2 · backfill · confidence 0.70 Carey E. Priebe
- 1310.1297 #8 · backfill · confidence 0.70 Carey E. Priebe
- 1306.1977 #2 · backfill · confidence 0.70 Carey E. Priebe
- 1305.7388 #4 · backfill · confidence 0.70 Carey E. Priebe
- 1305.4893 #3 · backfill · confidence 0.70 Carey E. Priebe
- 1304.7844 #3 · backfill · confidence 0.70 Carey E. Priebe
- 1301.2738 #2 · backfill · confidence 0.70 Carey E. Priebe
- 1212.3587 #2 · backfill · confidence 0.70 Carey E. Priebe
- 1212.1182 #3 · backfill · confidence 0.70 Carey E. Priebe
- 1211.3601 #1 · backfill · confidence 0.70 Carey E. Priebe
- 1210.8429 #2 · backfill · confidence 0.70 Carey E. Priebe
- 1209.3761 #2 · backfill · confidence 0.70 Carey E. Priebe
- 1209.0367 #7 · backfill · confidence 0.70 Carey E. Priebe
- 1207.6745 #3 · backfill · confidence 0.70 Carey E. Priebe
- 1205.5082 #2 · backfill · confidence 0.70 Carey E. Priebe
- 1205.0309 #5 · backfill · confidence 0.70 Carey E. Priebe
- 1201.4118 #2 · backfill · confidence 0.70 Carey E. Priebe
- 1112.5510 #1 · backfill · confidence 0.70 Carey E. Priebe
- 1112.5507 #9 · backfill · confidence 0.70 Carey E. Priebe
- 1112.5506 #2 · backfill · confidence 0.70 Carey E. Priebe
- 1108.6271 #1 · backfill · confidence 0.70 Carey E. Priebe
- 1108.2228 #4 · backfill · confidence 0.70 Carey E. Priebe
- 1108.1427 #4 · backfill · confidence 0.70 Carey E. Priebe
- 0912.1672 #3 · backfill · confidence 0.70 Carey E. Priebe
- 0906.5436 #2 · backfill · confidence 0.70 Carey E. Priebe
Frequent Coauthors
- Minh Tang 24 shared papers
- Joshua T. Vogelstein 21 shared papers
- Vince Lyzinski 19 shared papers
- Daniel L. Sussman 14 shared papers
- Youngser Park 11 shared papers
- Avanti Athreya 9 shared papers
- Randal Burns 9 shared papers
- Donniell E. Fishkind 8 shared papers
- Joshua Cape 7 shared papers
- Da Zheng 6 shared papers
- Disa Mhembere 6 shared papers
- Keith Levin 5 shared papers
- R. Jacob Vogelstein 5 shared papers
- Runze Tang 4 shared papers
- Joshua Vogelstein 3 shared papers
- Li Chen 3 shared papers
- Michael W. Trosset 3 shared papers
- Sancar Adali 3 shared papers
- Yichen Qin 3 shared papers
- Alexander S. Szalay 2 shared papers