Research

My research interests are motivated by the need for the effective and efficient deployment of probabilistic machine learning techniques to improve decision making and prediction in the presence of uncertainty.

Publications

1. Andrei Margeloiu*, Matthew Ashman*, Umang Bhatt*, Yanzhi Chen, Mateja Jamnik, Adrian Weller
   Do Concept Bottleneck Models Learn As Intended?
   ICLR Workshop on Responsible AI, 2021.
   Paper

2. Metod Jazbec, Matthew Ashman, Vincent Fortuin, Micheal Pearce, Stephen Mandt, Gunnar Rätsch
   Scalable Gaussian Process Variational Autoencoders
   International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.
   Paper

3. Matthew Ashman, Jonathan So, Will Tebbutt, Vincent Fortuin, Michael Pearce, Richard E. Turner
   Sparse Gaussian Process Variational Autoencoders
   arxiv, 2021
   Paper