| Visualizing Topic Models. AJB Chaney, DM Blei ICWSM, 2012 | 181 | 2012 |
| A probabilistic model for using social networks in personalized item recommendation AJB Chaney, DM Blei, T Eliassi-Rad Proceedings of the 9th ACM Conference on Recommender Systems, 43-50, 2015 | 93 | 2015 |
| A large-scale exploration of group viewing patterns AJB Chaney, M Gartrell, JM Hofman, J Guiver, N Koenigstein, P Kohli, ... Proceedings of the ACM International Conference on Interactive Experiences …, 2014 | 18 | 2014 |
| Real-time topic models for crisis counseling K Dinakar, AJB Chaney, H Lieberman, DM Blei Twentieth ACM Conference on Knowledge Discovery and Data Mining, Data …, 2014 | 9 | 2014 |
| How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility AJB Chaney, BM Stewart, BE Engelhardt arXiv preprint arXiv:1710.11214, 2017 | 5 | 2017 |
| Mining large-scale tv group viewing patterns for group recommendation AJB Chaney, J Guiver, N Koenigstein, M Gartrell, P Kohli, JM Hofman, ... | 5 | 2013 |
| Detecting and characterizing events AJB Chaney, H Wallach, M Connelly, DM Blei Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 3 | 2016 |
| Poisson trust factorization for incorporating social networks into personalized item recommendation AJB Chaney, P Gopalan, DM Blei NIPS Workshop: What Difference Does Personalization Make, 2013 | 3 | 2013 |
| Who, What, When, Where, and Why? A Computational Approach to Understanding Historical Events Using State Department Cables AJB Chaney, H Wallach, DM Blei Text as Data, 2015 | 1 | 2015 |
| Computational Methods for Exploring Human Behavior AJB Chaney Princeton University, 2016 | | 2016 |
| A Guide to Black Box Variational Inference for Gamma Distributions AJB Chaney | | 2015 |
| Detecting and Characterizing Events: Appendices AJB Chaney, H Wallach, M Connelly, DM Blei | | |
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu