144 citations · 324 across the 35 of their papers we have counts for
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cs.LG2018★ 8 cited
Using Large Ensembles of Control Variates for Variational Inference
Tomas Geffner, Justin Domke
Variational inference is increasingly being addressed with stochastic optimization. In this setting, the gradient's variance plays a crucial role in the optimization procedure, sin…
cs.LG2018★ 44 cited
Importance Weighting and Variational Inference
Justin Domke, Daniel Sheldon
Recent work used importance sampling ideas for better variational bounds on likelihoods. We clarify the applicability of these ideas to pure probabilistic inference, by showing the…
stat.ML2018★ 4 cited
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding
Ga Wu, Justin Domke, Scott Sanner
Variational Autoencoders (VAEs) are a popular generative model, but one in which conditional inference can be challenging. If the decomposition into query and evidence variables is…