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| Publication Date | Article Title | Author(s) |
|---|---|---|
| - | Black Box Variational Inference | Ranganath, Rajesh; Gerrish, Sean; Blei, David M |
| 3-Jan-2014 | Build, Compute, Critique, Repeat: Data Analysis with Latent Variable Models | Blei, David M |
| Aug-2013 | Deep Learning with Hierarchical Convolutional Factor Analysis | Chen, Bo; Polatkan, Gungor; Sapiro, Guillermo; Blei, David M.; Dunson, David, et al |
| 2014 | Black Box Variational Inference. | Ranganath, Rajesh; Gerrish, Sean; Blei, David M |
| 2008 | Continuous Time Dynamic Topic Models | Wang, Chong; Blei, David M; Heckerman, David |
| 2013 | An adaptive learning rate for stochastic variational inference | Ranganath, R; Wang, C; Blei, DM; Xing, EP |
| 2021 | A Duality-Based Unified Approach to Bayesian Mechanism Design | Cai, Yang; Devanur, Nikhil R; Weinberg, S Matthew |
| 2016 | Reliable Communication over Highly Connected Noisy Networks | Alon, Noga; Braverman, Mark; Efremenko, Klim; Gelles, Ran; Haeupler, Bernhard |
| 2012 | How they vote: Issue-adjusted models of legislative behavior | Gerrish, SM; Blei, DM |
| 2010 | Hierarchical relational models for document networks | Chang, Jonathan; Blei, David M |