62 citations · 115 across the 3 of their papers we have counts for
3 papers
stat.ML2016★ 62 cited
Variational Boosting: Iteratively Refining Posterior Approximations
Andrew C. Miller, Nicholas Foti, Ryan P. Adams
We propose a black-box variational inference method to approximate intractable distributions with an increasingly rich approximating class. Our method, termed variational boosting,…
stat.ML2014★ 8 cited
Streaming Variational Inference for Bayesian Nonparametric Mixture Models
Alex Tank, Nicholas J. Foti, Emily B. Fox
In theory, Bayesian nonparametric (BNP) models are well suited to streaming data scenarios due to their ability to adapt model complexity with the observed data. Unfortunately, suc…
stat.ML2014★ 45 cited
Stochastic Variational Inference for Hidden Markov Models
Nicholas J. Foti, Jason Xu, Dillon Laird +1
Variational inference algorithms have proven successful for Bayesian analysis in large data settings, with recent advances using stochastic variational inference (SVI). However, su…