957 citations · 1.4k across the 39 of their papers we have counts for
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Variational Inference for Infinitely Deep Neural Networks
Achille Nazaret, David Blei
We introduce the unbounded depth neural network (UDN), an infinitely deep probabilistic model that adapts its complexity to the training data. The UDN contains an infinite sequence…
Estimating Social Influence from Observational Data
Dhanya Sridhar, Caterina De Bacco, David Blei
We consider the problem of estimating social influence, the effect that a person's behavior has on the future behavior of their peers. The key challenge is that shared behavior bet…
Mapping Interstellar Dust with Gaussian Processes
Andrew C. Miller, Lauren Anderson, Boris Leistedt +3
Interstellar dust corrupts nearly every stellar observation, and accounting for it is crucial to measuring physical properties of stars. We model the dust distribution as a spatial…