| Spectral clustering and the high-dimensional stochastic blockmodel K Rohe, S Chatterjee, B Yu The Annals of Statistics 39 (4), 1878-1915, 2011 | 867 | 2011 |
| Regularized spectral clustering under the degree-corrected stochastic blockmodel T Qin, K Rohe Advances in neural information processing systems 26, 2013 | 289 | 2013 |
| 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 | 163 | 2016 |
| 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 | 159 | 2013 |
| Covariate-assisted spectral clustering N Binkiewicz, JT Vogelstein, K Rohe Biometrika 104 (2), 361-377, 2017 | 132 | 2017 |
| 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 | 119* | 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 | 85 | 2018 |
| Understanding regularized spectral clustering via graph conductance Y Zhang, K Rohe Advances in Neural Information Processing Systems 31, 2018 | 64 | 2018 |
| Preconditioning the lasso for sign consistency J Jia, K Rohe Electronic Journal of Statistics 9 (1), 1150-1172, 2015 | 63* | 2015 |
| The lasso under poisson-like heteroscedasticity J Jia, K Rohe, B Yu Statistica Sinica, 0 | 40* | |
| A critical threshold for design effects in network sampling K Rohe The Annals of Statistics 47 (1), 556-582, 2019 | 29* | 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 | 22 | 2017 |
| Central limit theorems for network driven sampling X Li, K Rohe Electronic Journal of Statistics 11 (2), 4871-4895, 2017 | 17 | 2017 |
| The highest dimensional stochastic blockmodel with a regularized estimator K Rohe, T Qin, H Fan Statistica Sinica, 1771-1786, 2014 | 15 | 2014 |
| 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 | 14 | 2017 |
| Vintage factor analysis with varimax performs statistical inference K Rohe, M Zeng arXiv preprint arXiv:2004.05387, 2020 | 13 | 2020 |
| 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 | 11* | 2018 |
| The blessing of transitivity in sparse and stochastic networks K Rohe, T Qin arXiv preprint arXiv:1307.2302, 2013 | 11 | 2013 |
| 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 | 6 | 2017 |
| Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion: Some Statistical and Algorithmic Theory for Adaptive-Impute J Cho, D Kim, K Rohe Journal of Computational and Graphical Statistics 28 (2), 323-333, 2019 | 5 | 2019 |
Bin YUProfessor of Statistics and EECS, UC BerkeleyVerified email at stat.berkeley.edu
