618 citations · 1.9k across the 59 of their papers we have counts for
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Proximity Variational Inference
Jaan Altosaar, Rajesh Ranganath, David M. Blei
Variational inference is a powerful approach for approximate posterior inference. However, it is sensitive to initialization and can be subject to poor local optima. In this paper,…
Variational Sequential Monte Carlo
Christian A. Naesseth, Scott W. Linderman, Rajesh Ranganath +1
Many recent advances in large scale probabilistic inference rely on variational methods. The success of variational approaches depends on (i) formulating a flexible parametric fami…
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Dustin Tran, Rajesh Ranganath, David M. Blei
Implicit probabilistic models are a flexible class of models defined by a simulation process for data. They form the basis for theories which encompass our understanding of the phy…