Stefan Webb

Stefan Webb

deep learning, deep generative models, probabilistic inference

I am a DPhil student in the AIMS centre for doctoral training supervised by Prof. Frank Wood and Prof. Yee Whye Teh. I am interested in improving learning in deep generative models, and developing new architectures and applications for them. I would like to be a contributor towards an “AlexNet moment” for DGMs. For most of the last year I have been working on distributed Bayesian learning using stochastic natural gradient expectation propagation applied to Bayesian neural networks.

Publications

2017

  • L. Hasenclever , S. Webb , T. Lienart , S. Vollmer , B. Lakshminarayanan , C. Blundell , Y. W. Teh , Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server, Journal of Machine Learning Research, vol. 18, no. 106, 1–37, 2017.
    Project: sgmcmc

2015

  • L. Hasenclever , S. Webb , T. Lienart , S. Vollmer , B. Lakshminarayanan , C. Blundell , Y. W. Teh , Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server, 2015.
    Project: sgmcmc

Software

2016

  • L. Hasenclever , S. Webb , T. Lienart , S. Vollmer , B. Lakshminarayanan , C. Blundell , Y. W. Teh , Posterior Server. 2016.
    Project: sgmcmc