Browsing by Author Ranganath, Rajesh
Showing results 1 to 13 of 13
| Publication Date | Article Title | Author(s) |
|---|---|---|
| 2013 | An Adaptive Learning Rate for Stochastic Variational Inference | Ranganath, Rajesh; Wang, Chong; Blei, David M; Xing, Eric P |
| 2017 | Automatic Differentiation Variational Inference | Kucukelbir, Alp; Tran, Dustin; Ranganath, Rajesh; Gelman, Andrew; Blei, David M |
| 2015 | Automatic Variational Inference in Stan | Kucukelbir, Alp; Ranganath, Rajesh; Gelman, Andrew; Blei, David M |
| 2014 | Bayesian Nonparametric Poisson Factorization for Recommendation Systems | Gopalan, Prem; Ruiz, Francisco J; Ranganath, Rajesh; Blei, David M |
| - | Black Box Variational Inference | Ranganath, Rajesh; Gerrish, Sean; Blei, David M |
| 2014 | Black Box Variational Inference | Ranganath, Rajesh; Gerrish, Sean; Blei, David M |
| 2014 | Black Box Variational Inference. | Ranganath, Rajesh; Gerrish, Sean; Blei, David M |
| 2015 | Deep Exponential Families | Ranganath, Rajesh; Tang, Linpeng; Charlin, Laurent; Blei, David M |
| 2017 | Hierarchical Implicit Models and Likelihood-Free Variational Inference | Tran, Dustin; Ranganath, Rajesh; Blei, David M |
| 2015 | The Population Posterior and Bayesian Modeling on Streams | McInerney, James; Ranganath, Rajesh; Blei, David M |
| Feb-2018 | A probabilistic approach to discovering dynamic full-brain functional connectivity patterns | Manning, Jeremy R.; Zhu, Xia; Willke, Theodore L.; Ranganath, Rajesh; Stachenfeld, Kimberly; et al |
| 7-May-2014 | Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data | Manning, Jeremy R.; Ranganath, Rajesh; Norman, Kenneth A.; Blei, David M. |
| 2017 | Variational Inference via χ Upper Bound Minimization | Dieng, Adji B; Tran, Dustin; Ranganath, Rajesh; Paisley, John; Blei, David M |