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All publications by Sinead Williamson
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Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models
Sinead Williamson, Avinava Dubey and Eric P. Xing
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Slice sampling normalized kernel-weighted completely random measure mixture models
Nicholas Foti and Sinead Williamson
Advances in Neural Information Processing Systems 25, 2012


Modeling Images using Transformed Indian Buffet Processes
Ke Zhai, Yuening Hu, Sinead Williamson and Jordan L. Boyd-graber
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling
Sinead Williamson, Chong Wang, Katherine A. Heller and David M. Blei
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Dependent Indian Buffet Processes
Sinead Williamson, Peter Orbanz and Zoubin Ghahramani
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Statistical models for partial membership
Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008