no code implementations • 17 Nov 2016 • Fangjian Guo, Xiangyu Wang, Kai Fan, Tamara Broderick, David B. Dunson
Variational inference (VI) provides fast approximations of a Bayesian posterior in part because it formulates posterior approximation as an optimization problem: to find the closest distribution to the exact posterior over some family of distributions.
2 code implementations • NeurIPS 2015 • Xiangyu Wang, Fangjian Guo, Katherine A. Heller, David B. Dunson
The new algorithm applies random partition trees to combine the subset posterior draws, which is distribution-free, easy to resample from and can adapt to multiple scales.
no code implementations • 11 Nov 2014 • Fangjian Guo, Charles Blundell, Hanna Wallach, Katherine Heller
We present the Bayesian Echo Chamber, a new Bayesian generative model for social interaction data.