research
∙
06/30/2021
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence
Variational Inference (VI) is a popular alternative to asymptotically ex...
share
research
∙
09/06/2017
An inner-loop free solution to inverse problems using deep neural networks
We propose a new method that uses deep learning techniques to accelerate...
research
∙
06/10/2015
Parallelizing MCMC with Random Partition Trees
The modern scale of data has brought new challenges to Bayesian inferenc...
research
∙
03/15/2012
