| Reading tea leaves: How humans interpret topic models J Chang, S Gerrish, C Wang, J Boyd-Graber, D Blei Advances in neural information processing systems 22, 2009 | 3398 | 2009 |
| Black box variational inference R Ranganath, S Gerrish, D Blei Artificial intelligence and statistics, 814-822, 2014 | 1406 | 2014 |
| A language-based approach to measuring scholarly impact. S Gerrish, DM Blei ICML 10, 375-382, 2010 | 241 | 2010 |
| Predicting legislative roll calls from text SM Gerrish, DM Blei Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 2011 | 228 | 2011 |
| How they vote: Issue-adjusted models of legislative behavior S Gerrish, D Blei Advances in neural information processing systems 25, 2012 | 142 | 2012 |
| Scalable inference of overlapping communities PK Gopalan, S Gerrish, M Freedman, D Blei, D Mimno Advances in Neural Information Processing Systems 25, 2012 | 139 | 2012 |
| How smart machines think S Gerrish MIT Press, 2018 | 77 | 2018 |
| Advances in neural information processing systems J Chang, S Gerrish, C Wang, JL Boyd-Graber, DM Blei, Y Bengio, ... Reading Tea Leaves: How Humans Interpret Topic Models, 296-299, 2009 | 65 | 2009 |
| Individual focus and knowledge contribution LA Adamic, X Wei, J Yang, S Gerrish, KK Nam, GS Clarkson arXiv preprint arXiv:1002.0561, 2010 | 33 | 2010 |
| Two new criteria for comparison in the Bruhat order B Drake, S Gerrish, M Skandera the electronic journal of combinatorics, 2004 | 23 | 2004 |
| Latent Dirichlet allocation. 2003 D Blei, A Ng, M Jordan Journal of Machine Learning Research 3, 2003 | 19* | 2003 |
| Applications of latent variable models in modeling influence and decision making SM Gerrish Princeton University, 2013 | 12 | 2013 |
| Monomial nonnegativity and the Bruhat order B Drake, S Gerrish, M Skandera the electronic journal of combinatorics, R18-R18, 2004 | 9 | 2004 |
| The issue-adjusted ideal point model SM Gerrish, DM Blei arXiv preprint arXiv:1209.6004, 2012 | 8 | 2012 |
| The ideal point topic model: predicting legislative roll calls from text S Gerrish, D Blei Proceedings of the Computational Social Science and the Wisdom of Crowds …, 2010 | 8 | 2010 |
| A text-based HMM of foreign affair sentiment SM Gerrish, DM Blei Second annual NIPS workshop on Computational Social Science and the Wisdom …, 2011 | 3 | 2011 |
| Topic Modeling in the Judicial Hierarchy D Beim, S Gerrish | 1 | 2011 |
| Modeling Influence in Text Corpora S Gerrish, D Blei | 1 | 2009 |
| Black Box Variational Inference (Extra Materials) R Ranganath, S Gerrish, DM Blei Aistats, 2014 | | 2014 |
| Latent variable models S Gerrish | | 2013 |
