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Keith D. Levin
Keith D. Levin
Assistant Professor, University of Wisconsin-Madison
Verified email at wisc.edu - Homepage
Title
Cited by
Cited by
Year
Statistical inference on random dot product graphs: a survey
A Athreya, DE Fishkind, M Tang, CE Priebe, Y Park, JT Vogelstein, ...
The Journal of Machine Learning Research 18 (1), 8393-8484, 2017
1862017
Fixed-dimensional acoustic embeddings of variable-length segments in low-resource settings
K Levin, K Henry, A Jansen, K Livescu
2013 IEEE workshop on automatic speech recognition and understanding, 410-415, 2013
1202013
A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition
A Jansen, E Dupoux, S Goldwater, M Johnson, S Khudanpur, K Church, ...
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
1082013
Segmental acoustic indexing for zero resource keyword search
K Levin, A Jansen, B Van Durme
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
772015
Query-by-example search with discriminative neural acoustic word embeddings
S Settle, K Levin, H Kamper, K Livescu
arXiv preprint arXiv:1706.03818, 2017
732017
Clustering problems on sliding windows
V Braverman, H Lang, K Levin, M Monemizadeh
Proceedings of the twenty-seventh annual ACM-SIAM symposium on Discrete …, 2016
402016
Estimating a network from multiple noisy realizations
CM Le, K Levin, E Levina
342018
A central limit theorem for an omnibus embedding of multiple random dot product graphs
K Levin, A Athreya, M Tang, V Lyzinski, CE Priebe
2017 IEEE international conference on data mining workshops (icdmw), 964-967, 2017
282017
A central limit theorem for an omnibus embedding of random dot product graphs
K Levin, A Athreya, M Tang, V Lyzinski, CE Priebe
arXiv preprint arXiv:1705.09355, 2017
272017
A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference
K Levin, A Athreya, M Tang, V Lyzinski, Y Park, CE Priebe
arXiv preprint arXiv:1705.09355, 2017
232017
Bootstrapping networks with latent space structure
K Levin, E Levina
arXiv preprint arXiv:1907.10821, 2019
212019
Connectal coding: discovering the structures linking cognitive phenotypes to individual histories
JT Vogelstein, EW Bridgeford, BD Pedigo, J Chung, K Levin, B Mensh, ...
Current opinion in neurobiology 55, 199-212, 2019
202019
On the consistency of the likelihood maximization vertex nomination scheme: Bridging the gap between maximum likelihood estimation and graph matching
V Lyzinski, K Levin, DE Fishkind, CE Priebe
The Journal of Machine Learning Research 17 (1), 6206-6239, 2016
172016
Recovering shared structure from multiple networks with unknown edge distributions.
K Levin, A Lodhia, E Levina
J. Mach. Learn. Res. 23, 3:1-3:48, 2022
142022
Vertex nomination: The canonical sampling and the extended spectral nomination schemes
J Yoder, L Chen, H Pao, E Bridgeford, K Levin, DE Fishkind, C Priebe, ...
Computational Statistics & Data Analysis 145, 106916, 2020
142020
On consistent vertex nomination schemes
V Lyzinski, K Levin, CE Priebe
Journal of Machine Learning Research 20 (69), 2019
142019
Clustering on sliding windows in polylogarithmic space
V Braverman, H Lang, K Levin, M Monemizadeh
35th IARCS Annual Conference on Foundations of Software Technology and …, 2015
132015
Out-of-sample extension of graph adjacency spectral embedding
K Levin, F Roosta, M Mahoney, C Priebe
International Conference on Machine Learning, 2975-2984, 2018
122018
Laplacian eigenmaps from sparse, noisy similarity measurements
K Levin, V Lyzinski
IEEE Transactions on Signal Processing 65 (8), 1988-2003, 2016
112016
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings
K Levin, F Roosta, M Tang, MW Mahoney, CE Priebe
Journal of Machine Learning Research 22 (194), 1-59, 2021
52021
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