Tag Archives: probabilistic inference

A Divergence Bound For Hybrids of MCMC and Variational Inference and …

At ICML I recently published a paper that I somehow decided to title “A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI”. This paper gives one framework for building “hybrid” algorithms … Continue reading

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Personal opinions about graphical models 1: The surrogate likelihood exists and you should use it.

When talking about graphical models with people¬† (particularly computer vision folks) I find myself advancing a few opinions over and over again.¬† So, in an effort to stop bothering people at conferences, I thought I’d write a few entries here. … Continue reading

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