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Karl Rohe
Karl Rohe
Professor of Statistics, UW Madison
Verified email at stat.wisc.edu - Homepage
Title
Cited by
Cited by
Year
Spectral clustering and the high-dimensional stochastic blockmodel
K Rohe, S Chatterjee, B Yu
The Annals of Statistics 39 (4), 1878-1915, 2011
9322011
Regularized spectral clustering under the degree-corrected stochastic blockmodel
T Qin, K Rohe
Advances in neural information processing systems 26, 2013
3172013
Fast and accurate detection of evolutionary shifts in Ornstein–Uhlenbeck models
M Khabbazian, R Kriebel, K Rohe, C Ane
Methods in Ecology and Evolution 7 (7), 811-824, 2016
1772016
Fantope projection and selection: A near-optimal convex relaxation of sparse PCA
VQ Vu, J Cho, J Lei, K Rohe
Advances in neural information processing systems 26, 2013
1752013
Covariate-assisted spectral clustering
N Binkiewicz, JT Vogelstein, K Rohe
Biometrika 104 (2), 361-377, 2017
1532017
Co-clustering directed graphs to discover asymmetries and directional communities
K Rohe, T Qin, B Yu
Proceedings of the National Academy of Sciences 113 (45), 12679-12684, 2016
133*2016
Attention and amplification in the hybrid media system: The composition and activity of Donald Trump’s Twitter following during the 2016 presidential election
Y Zhang, C Wells, S Wang, K Rohe
New Media & Society 20 (9), 3161-3182, 2018
962018
Understanding regularized spectral clustering via graph conductance
Y Zhang, K Rohe
Advances in Neural Information Processing Systems 31, 2018
752018
Preconditioning the lasso for sign consistency
J Jia, K Rohe
Electronic Journal of Statistics 9 (1), 1150-1172, 2015
65*2015
The lasso under poisson-like heteroscedasticity
J Jia, K Rohe, B Yu
Statistica Sinica, 0
36*
A critical threshold for design effects in network sampling
K Rohe
The Annals of Statistics 47 (1), 556-582, 2019
30*2019
Novel sampling design for respondent-driven sampling
M Khabbazian, B Hanlon, Z Russek, K Rohe
Electronic Journal of Statistics 11 (2), 4769-4812, 2017
262017
Vintage factor analysis with varimax performs statistical inference
K Rohe, M Zeng
arXiv preprint arXiv:2004.05387, 2020
192020
Central limit theorems for network driven sampling
X Li, K Rohe
Electronic Journal of Statistics 11 (2), 4871-4895, 2017
172017
The highest dimensional stochastic blockmodel with a regularized estimator
K Rohe, T Qin, H Fan
Statistica Sinica, 1771-1786, 2014
172014
Asymptotic theory for estimating the singular vectors and values of a partially-observed low rank matrix with noise
J Cho, D Kim, K Rohe
Statistica Sinica, 1921-1948, 2017
162017
The blessing of transitivity in sparse and stochastic networks
K Rohe, T Qin
arXiv preprint arXiv:1307.2302, 2013
152013
Discovering political topics in Facebook discussion threads with graph contextualization
Y Zhang, M Poux-Berthe, C Wells, K Koc-Michalska, K Rohe
The Annals of Applied Statistics 12 (2), 1096-1123, 2018
12*2018
Targeted sampling from massive block model graphs with personalized PageRank
F Chen, Y Zhang, K Rohe
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2020
72020
Latent Factors in Student–Teacher Interaction Factor Analysis
T Le, D Bolt, E Camburn, P Goff, K Rohe
Journal of Educational and Behavioral Statistics 42 (2), 115-144, 2017
72017
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