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Approximate inference algorithms [Slides]

Souvik Chakraborty

Convolutional Neural Networks [Slides]

Navid Shervani-Tabar

Intro to Stein's method, with applications to Bayesian Surrogate Modeling [Slides]

Yinhao Zhu

Stein's method [1] is a theoretical technique to obtain boun...

Parallel approaches for the Bayesian Gaussian process latent variable model [Slides]

Steven Atkinson

We consider the task of training a Bayesian GP-LVM and uncover opportunities to employ parallelism in computing the collapsed lower bound to the model evidence and its gr...

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