105 citations · 265 across the 6 of their papers we have counts for
Showing 2014 · stat.MLShow all
2 papers · 2 filters
stat.ML2014★ 20 cited
Variational Tempering
Stephan Mandt, James McInerney, Farhan Abrol +2
Variational inference (VI) combined with data subsampling enables approximate posterior inference over large data sets, but suffers from poor local optima. We first formulate a det…
stat.ML2014★ 10 cited
Smoothed Gradients for Stochastic Variational Inference
Stephan Mandt, David Blei
Stochastic variational inference (SVI) lets us scale up Bayesian computation to massive data. It uses stochastic optimization to fit a variational distribution, following easy-to-c…