25 citations · 111 across the 17 of their papers we have counts for
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Tightening Bounds for Variational Inference by Revisiting Perturbation Theory
Robert Bamler, Cheng Zhang, Manfred Opper +1
Variational inference has become one of the most widely used methods in latent variable modeling. In its basic form, variational inference employs a fully factorized variational di…
Active Mini-Batch Sampling using Repulsive Point Processes
Cheng Zhang, Cengiz Öztireli, Stephan Mandt +1
The convergence speed of stochastic gradient descent (SGD) can be improved by actively selecting mini-batches. We explore sampling schemes where similar data points are less likely…
Perturbative Black Box Variational Inference
Robert Bamler, Cheng Zhang, Manfred Opper +1
Black box variational inference (BBVI) with reparameterization gradients triggered the exploration of divergence measures other than the Kullback-Leibler (KL) divergence, such as a…