Andrew Gordon Wilson PhD Student in the Machine Learning Group at the University of Cambridge Member of Trinity College [CV] [Publications] [Talks] Welcome to my page. I have broad interests in machine learning and statistics.  I am especially interested in Bayesian nonparametrics and stochastic processes.   My CV includes my contact information and a list of publications. 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 playing squash, tennis, badminton, and football.

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Publications

Gaussian process covariance kernels for pattern discovery and extrapolation
Andrew Gordon Wilson and Ryan Prescott Adams
International Conference on Machine Learning (ICML), 2013.  In press.
Oral Presentation
arXiv pre-print: http://arxiv.org/pdf/1302.4245v2.pdf
February 18, 2013
[BibTeX, Slides, Code -- Coming Soon!] 

Modelling input dependent correlations between multiple responses
Andrew Gordon Wilson and Zoubin Ghahramani.
European Conference on Machine Learning (ECML), 2012
Nectar Track  for "significant machine learning results"
Oral Presentation
[PDF, BibTeX]

Gaussian process regression networks
Andrew Gordon Wilson, David A. Knowles, and Zoubin Ghahramani.
International Conference on Machine Learning (ICML), 2012.
Long Oral Presentation
[Abstract, PDF, BibTeX, Slides, Supplementary, Video Lecture]

Generalised Wishart processes
Andrew Gordon Wilson and Zoubin Ghahramani.
Uncertainty in Artificial Intelligence (UAI), 2011.
Best Student Paper Award
[Abstract, PDF, BibTeX]

Copula processes
Andrew Gordon Wilson and Zoubin Ghahramani.
Advances in Neural Information Processing Systems (NIPS), 2010.
Spotlight
[Abstract, PDF, BibTeX, Slides, Video Lecture]


Talks

Gaussian processes for pattern discovery
Research Seminar, Sheffield Translational Institute for Neuroscience,
University of Sheffield, Sheffield, UK, March 2013

Models of input dependent covariances
Xerox Research Seminar, Grenoble, France, November 2012

A machine learning approach to NMR spectroscopy
Microsoft Research Cambridge, UK, September 2012

Modelling input dependent correlations between multiple responses
ECML Nectar Track, Bristol, UK, September 2012
Division F Conference, University of Cambridge, Cambridge, UK, June 2012

Gaussian process regression networks
ICML, Edinburgh, UK, June 2012

Bayesian nonparametric density estimation
Machine Learning Group, University of Cambridge, UK, May 2012

Bayesian nonparametric modelling of dependent covariances
Harvard University, April 2012
University of California, Berkeley, May 2012

Generalised Wishart processes
International Joint Conference for Artificial Intelligence, Award Winning Paper Track, Barcelona, July 2011
Uncertainty in Artificial Intelligence, Barcelona, July 2011

Copula and Wishart processes for modelling dependent uncertainty and dynamic correlations
(Poster) Bayesian Nonparametrics Workshop, Veracruz, Mexico, June 2011

Copula and Wishart processes for multivariate volatility
Rimini Bayesian Econometrics Workshop, Rimini, Italy, June 2011

Latent Gaussian process models
Latent Gaussian Models Workshop, Zurich, Switzerland, February 2011
ETH Zurich, Zurich, Switzerland, February 2011

Poisson processes
Machine Learning Group, University of Cambridge, UK, November 2010

Modelling changing uncertainty with copula processes
University College London, London, UK, October 2010

Time series
Machine Learning Group, University of Cambridge, UK, May 2010