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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 |
| 2014 | Provable bounds for learning some deep representations | Arora, Sanjeev; Bhaskara, A; Ge, R; Ma, T |
| 2013 | Towards a better approximation for SPARSEST CUT? | Arora, Sanjeev; Ge, R; Sinop, AK |
| 2014 | New algorithms for learning incoherent and overcomplete dictionaries | Arora, Sanjeev; Ge, R; Moitra, A |
| 2017 | Reducing reparameterization gradient variance | Miller, AC; Foti, NJ; D Amour, A; Adams, Ryan P |