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Publications

2010

Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, and Thore Graepel
European Conference on Machine Learning (ECML PKDD 2010).
[pdf][tech report]

Nonparametric Hidden Markov Models
Jurgen Van Gael and Zoubin Ghahramani
Book chapter in Bayesian Time-Series Models, Cambridge University Press, 2010
[pdf]

Traffic Classification in Information Poor Environments
Charalampos Rotsos, Jurgen Van Gael, Andrew W. Moore and Zoubin Ghahramani
1st International Workshop on Traffic Analysis and Classification (TRAC 2010)
[pdf]

Scaling the iHMM: Parallelization versus Hadoop
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlachos and Zoubin Ghahramani
Scalable Machine Learning and Applications, 2010
[pdf][poster @ AISTATS 2010]

2009

The infinite HMM for unsupervised PoS tagging
Jurgen Van Gael, Andreas Vlachos and Zoubin Ghahramani
The 2009 Conference on Empirical Methods on Natural Language Processing (EMNLP 2009).
[pdf][slides]

Variational Inference for the Indian Buffet Process
Finale Doshi-Velez, Kurt T. Miller, Jurgen Van Gael and Yee Whye Teh
Conference on Artificial Intelligence and Statistics (AISTATS 2009).
[pdf][technical report][code]

2008

The Infinite Factorial Hidden Markov Model
Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani
Neural Information Processing Systems (NIPS 2008).
[pdf][appendix][poster]
(January 2010: Fixed a few typos spotted by Justin Dauwels)

To Infinity and Beyond with Hidden Markov Models
Jurgen Van Gael
Poster presented at Andrew Blake's Honorary Professorship in Information Engineering inaugural lecture, October 2008
[poster]

The Infinite Factorial Hidden Markov Model
Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani
Nonparametric Bayes Workshop at ICML/UAI/COLT 2008 (NPBayes 2008).
[pdf][video]

Beam Sampling for the Infinite Hidden Markov Model
Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubin Ghahramani
25th International Conference on Machine Learning (ICML 2008).
[pdf][video][code][presentation]

Discovering Software Bugs with Nonparametric Bayesian models
Finale Doshi and Jurgen Van Gael
Poster presented at the CRiSM workshop in Warwick.
[poster]

2007

Improving Diversity in Ranking using Absorbing Random Walks
Xiaojin Zhu, Andrew B. Goldberg, Jurgen Van Gael and David Andrzejewski
Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007).
[pdf]

Correlation Clustering for Crosslingual Link Detection
Jurgen Van Gael, Xiaojin Zhu
Twentieth International Joint Conference on Artificial Intelligence (IJCAI 2007).
[pdf][data][poster]

2006

Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006
Andrew B. Goldberg, David Andrzejewski, Jurgen Van Gael, Burr Settles, Xiaojin Zhu, and Mark Craven
Proceedings of the Fifteenth Text Retrieval Conference (TREC 2006).
[pdf]

Undergraduate Research:

As a part of my undergraduate degree I chose to make a thesis in theoretical computer science; more in particular in quantum computing. I did some research into the role of interference and entanglement for quantum computing. [pdf]