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2020 – today
- 2024
[j4]Fan Chen
, Karl Rohe:
A New Basis for Sparse Principal Component Analysis. J. Comput. Graph. Stat. 33(2): 421-434 (2024)- 2021
- [j3]Yini Zhang, Fan Chen, Karl Rohe:
Social Media Public Opinion as Flocks in a Murmuration: Conceptualizing and Measuring Opinion Expression on Social Media. J. Comput. Mediat. Commun. 27(1) (2021) - [i10]Fan Chen, Sebastien Roch, Karl Rohe, Shuqi Yu:
Estimating Graph Dimension with Cross-validated Eigenvalues. CoRR abs/2108.03336 (2021) - 2020
- [i9]Fan Chen, Karl Rohe:
A New Basis for Sparse PCA. CoRR abs/2007.00596 (2020)
2010 – 2019
- 2019
- [i8]Fan Chen, Yini Zhang, Karl Rohe:
Targeted sampling from massive Blockmodel graphs with personalized PageRank. CoRR abs/1910.12937 (2019) - 2018
- [j2]Karl Rohe, Jun Tao, Xintian Han, Norbert Binkiewicz:
A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation. J. Mach. Learn. Res. 19: 77:1-77:13 (2018) - [j1]Yini Zhang, Chris Wells, Song Wang, Karl Rohe:
Attention and amplification in the hybrid media system: The composition and activity of Donald Trump's Twitter following during the 2016 presidential election. New Media Soc. 20(9): 3161-3182 (2018) - [c3]Yilin Zhang, Karl Rohe:
Understanding Regularized Spectral Clustering via Graph Conductance. NeurIPS 2018: 10654-10663 - [i7]Yilin Zhang, Karl Rohe:
Understanding Regularized Spectral Clustering via Graph Conductance. CoRR abs/1806.01468 (2018) - [i6]Yuling Yan, Bret M. Hanlon, Sebastien Roch, Karl Rohe:
Asymptotic Seed Bias in Respondent-driven Sampling. CoRR abs/1808.10593 (2018) - [i5]Yilin Zhang, Karl Rohe, Sebastien Roch:
Reducing Seed Bias in Respondent-Driven Sampling by Estimating Block Transition Probabilities. CoRR abs/1812.01188 (2018) - 2017
- [i4]Sebastien Roch, Karl Rohe:
Generalized least squares can overcome the critical threshold in respondent-driven sampling. CoRR abs/1708.04999 (2017) - [i3]Yilin Zhang, Marie Poux-Berthe, Chris Wells, Karolina Koc-Michalska, Karl Rohe:
Discovering Political Topics in Facebook Discussion threads with Spectral Contextualization. CoRR abs/1708.06872 (2017) - 2014
- [i2]Norbert Binkiewicz, Joshua T. Vogelstein, Karl Rohe:
Covariate Assisted Spectral Clustering. CoRR abs/1411.2158 (2014) - 2013
- [c2]Vincent Q. Vu, Juhee Cho, Jing Lei, Karl Rohe:
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA. NIPS 2013: 2670-2678 - [c1]Tai Qin, Karl Rohe:
Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel. NIPS 2013: 3120-3128 - [i1]Tai Qin, Karl Rohe:
Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel. CoRR abs/1309.4111 (2013)
Coauthor Index
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