Welcome to my personal homepage
I am a machine learning scientist at Amazon, based in Cambridge, UK.
Prior to that, I worked as a research associate in machine learning and robotics at Sheffield, and before that I pursued my PhD degree with topic Deep Gaussian Processes and Variational Propagation of Uncertainty.
My area of interest is machine learning, and more specifically: Bayesian non-parametrics (focusing on both data efficiency and scalability), transfer/meta-learning, uncertainty quantification. In a recent strand of work I seek to bridge the gap between representation learning and decision-making.
Contact
Email: lastname {at} amazon {dot} com
Twitter: @adamianou
News
- Mar. 2019: Our paper "Variational Information Distillation for Knowledge Transfer" was accepted at CVPR.
- Dec. 2018: Our paper Transfer Learning across Learning Processes was accepted at ICLR for an oral presentation.
- 13 Dec. 2018: Invited talk at the Royal Statistical Society.
- 4 new papers presented at NeurIPS workshops 2018!
- I'm looking for summer interns! Applications open.
- June 2018: New paper on Deep GPs with Convolutional kernels.