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