Stefan Webb – Neural Networks for Inference, Inference for Neural Networks
The AIMS CDT program has provided me with excellent opportunities with world-class professors and post-docs to learn how to do research in machine learning and publish at top venues. I have also had the chance to experience research in industry as an intern, and develop contacts for employment after graduation.
My thesis, ‘Neural Networks for Inference, Inference for Neural Networks,’ was at the intersection of deep learning and Bayesian statistics, and was about the ways NNs can be used for amortized variational inference, and conversely how inference can be used to analyze discriminative NNs. After graduating, I am looking to continue working in this area in industry, developing applications and tools for deep Bayesian modeling.”