T-Stochastic Graphs. Sijia Fang, Karl Rohe. arxiv version
Estimating Graph Dimension with Cross-validated Eigenvalues. Fan Chen, Sebastien Roch, Karl Rohe, Shuqi Yu. arxiv version. code
A New Basis for Sparse Principal Component Analysis, Journal of Computational and Graphical Statistics, DOI: 10.1080/10618600.2023.2256502. Fan Chen & Karl Rohe (2023). Journal Version. arxiv version.
Vintage Factor Analysis with Varimax Performs Statistical Inference. With Discussion in JRSS-B. 2023. Karl Rohe and Muzhe Zeng. Journal Version. arXiv version, code.
Social Media Public Opinion as Flocks in a Murmuration:
Conceptualizing and Measuring Opinion Expression on Social Media.
Journal of Computer-Mediated Communication.
Yini Zhang, Fan Chen, Karl Rohe. Journal
Version
Targeted sampling from massive block model graphs with personalized
pagerank
Fan Chen, Yini Zhang, and Karl Rohe
Journal
of the Royal Statistical Society: Series B, 2019. code
A note on quickly sampling a sparse matrix with low rank
expectation
Karl Rohe, Jun Tao, Xintian Han, and Norbert Binkiewicz
Journal
of Machine Learning Research, 2018. code
Understanding regularized spectral clustering via graph
conductance
Yilin Zhang and Karl Rohe
NeurIPS
2018
Discovering political topics in facebook discussion threads with
graph contextualization Yilin Zhang, Marie Poux-Berthe, Chris Wells,
Karolina Koc-Michalska, Karl Rohe
The
Annals of Applied Statistics, 2018. (also listed below)
Covariate-assisted spectral clustering
N Binkiewicz, JT Vogelstein, and K Rohe
Biometrika,
2017.
Co-clustering directed graphs to discover asymmetries and directional
communities
Karl Rohe, Tai Qin, and Bin Yu
Proceedings
of the National Academy of Sciences, 2016.
Regularized Spectral Clustering under the Degree-Corrected Stochastic
Blockmodel
Tai Qin and Karl Rohe
NeurIPS,
2013
Spectral clustering and the high dimensional stochastic
blockmodel
K Rohe, B Yu, and S Chatterjee
The
Annals of Statistics, 2011.
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, 2017
Discovering political topics in facebook discussion threads with
graph contextualization Yilin Zhang, Marie Poux-Berthe, Chris Wells,
Karolina Koc-Michalska, Karl Rohe
The
Annals of Applied Statistics, 2018. (also listed above)
Latent factors in student–teacher interaction factor analysis
Thu Le, Daniel Bolt, Eric Camburn, Peter Goff, and Karl Rohe
Journal of Educational and Behavioral Statistics, 2017.
(also listed below)
Fantope Projection and Selection: A near-optimal convex relaxation of
sparse PCA
V Vu, J Cho, J Lei, and K Rohe
NeurIPS, 2013.
Preconditioning to comply with the irrepresentable condition
Jinzhu Jia and Karl Rohe
Electronic Journal of Statistics, 2015.
Preconditioning for classical relationships: a note relating ridge
regression and ols p-values to preconditioned sparse penalized
regression
Karl Rohe
Stat, 2015.
Network driven sampling; a critical threshold for design
effects
Rohe
Annals
of Statistics, 2019.
Generalized least squares can overcome the critical threshold in
respondent-driven sampling
Sebastien Roch and Karl Rohe
Proceedings
of the National Academy of Sciences, 2018.
Novel sampling design for respondent-driven sampling
Mohammad Khabbazian, Bret Hanlon, Zoe Russek, Karl Rohe
Electronic
Journal of Statistics, 2017.
Central limit theorems for network driven sampling
Xiao Li, Karl Rohe
Electronic
Journal of Statistics, 2017.
Asymptotic seed bias in respondent-driven sampling
Yuling Yan, Bret Hanlon, Sebastien Roch, and Karl Rohe
Electronic
Journal of Statistics, 2020.
Intelligent initialization and adaptive thresholding for iterative
matrix completion: Some statistical and algorithmic theory for
adaptive-impute
Juhee Cho, Donggyu Kim, and Karl Rohe
Journal of Computational and Graphical Statistics, 2019.
code
Asymptotic theory for estimating the singular vectors and values of a
partially-observed low rank matrix with noise
Juhee Cho, Donggyu Kim, and Karl Rohe
Statistica Sinica, 2017.
Latent factors in student–teacher interaction factor analysis
Thu Le, Daniel Bolt, Eric Camburn, Peter Goff, and Karl Rohe
Journal of Educational and Behavioral Statistics, 2017.
(also listed above)