About Me

I am currently a post doc in the Machine Learning department at Carnegie Mellon University, where I work with Eric Xing in the SAILING laboratory. Prior to this, I was a PhD student at the University of Cambridge, working with Zoubin Ghahramani in the Computational and Biological Learning group, in the Department of Engineering.

Research interests

I am interested in nonparametric Bayesian methods for use in machine learning applications. In particular, I am interested in dependent nonparametric processes -- distributions over collections of measures indexed by values in some covariate space -- and in nonparametric latent variable models.

News

Apr 2013 I will be joining the McCombs Business School at UT Austin as an Assistant Professor in Statistics, in August 2013.
Feb 2013 Our paper on dependent random measures has been selected as a Notable Paper at AISTATS. Check out the preprint.
Dec 2012 Our paper on nonparametric time-varying topic models has been accepted at SDM.
Dec 2012 Our paper on parallel inference in Bayesian nonparametric models has been accepted at ICML.
Dec 2012 Check out our paper on slice sampling a class of dependent normalized random measures at NIPS!
Sept 2012 I will be talking about slice sampling for dependent nonparametric models at the ICERM workshop on Bayesian nonparametrics at Brown University.
June 2012 I will be talking about beta processes at the ISBA meeting in Tokyo later this month.
May 2012 Our paper on modeling images using transformed IBPs will be presented at ICML in Edinburgh.
Dec 2011 I will be presenting on "Flexible nonparametric models via restriction" at ERCIM in London
Sept 2011 I have started a post doc at Carnegie Mellon, working with Eric Xing.
March 2011 I will be visiting Hal Daumé III's group at the University of Maryland until August.

Sinead Williamson


Contact Details



Machine Learning Dept
Carnegie Mellon University
5000 Forbes Ave
Pittsburgh, PA 15213