research
∙
03/01/2021
Challenges and Opportunities in High-dimensional Variational Inference
We explore the limitations of and best practices for using black-box var...
share
research
∙
09/01/2020
Robust, Accurate Stochastic Optimization for Variational Inference
We consider the problem of fitting variational posterior approximations ...
research
∙
03/25/2020
Preferential Batch Bayesian Optimization
Most research in Bayesian optimization (BO) has focused on direct feedba...
research
∙
10/03/2016
Semi-supervised Learning with Sparse Autoencoders in Phone Classification
We propose the application of a semi-supervised learning method to impro...
research
∙
06/29/2016