|Andrew Gordon Wilson
Postdoctoral Research Fellow in the Sailing Lab at Carnegie Mellon University
[PhD Thesis] [CV] [Papers] [Talks]
I have broad interests in machine learning and statistics. I am particularly interested in developing Bayesian nonparametric models for automatic pattern discovery and extrapolation.
In January 2014 I completed my PhD dissertation, "Covariance Kernels for Fast Automatic Pattern Discovery and Extrapolation with Gaussian processes" (news story), in the Machine Learning Group at the University of Cambridge, where I am a member of Trinity College.
Outside of work, I am a classical pianist who particularly enjoys Glenn Gould's playing of Bach.
I am also interested in modern physics, I write essays and fiction, and I enjoy squash, tennis, badminton, soccer, and chess.
- Video Lecture on Spectral Mixture (SM) Kernels
- My PhD Thesis:
Covariance Kernels for Fast Automatic Pattern Discovery and Extrapolation with Gaussian processes
A note on GPRNs and changepoints