Transparent user models for personalization

Khalid El-Arini, Ulrich Paquet, Ralf Herbrich, Jurgen Van Gael and Blaise Ag├╝era y Arcas

Proceedings of 18th International Conference on Knowledge Discovery and Data Mining (KDD 2012)

Crowd IQ: aggregating opinions to boost performance

Yoram Bachrach, Thore Graepel, Gjergji Kasneci, Michal Kosinski, and Jurgen Van Gael

Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012)

Bayesian Nonparametric Hidden Markov Models

PhD Thesis, Jurgen Van Gael


Measure transformer semantics for bayesian machine learning

Borgstroehm J., Gordon A., Greenberg M., Margetson J., Van Gael J.

Proceedings of the 20th European conference on Programming languages and systems (ESOP 2011/ETAPS 2011)

CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise

Kasneci G., Van Gael J., Stern D., Graepel T.

Proceedings of the fourth ACM international conference on Web search and data mining (WDSM 2011)

DBrev: Dreaming of a Database Revolution

Kasneci G., Van Gael J., Graepel T.

Biennial Conference on Innovative Datasystems Research (CIDR 2011)


Bayesian Knowledge Corroboration with Logical Rules and User Feedback

Kasneci G., Van Gael J., Graepel T., Herbrich R.

European Conference on Machine Learning (ECML 2011)

Vuvuzelas & Active Learning for Online Classification

Paquet, U. Van Gael J., Stern D., Kasneci G., Herbrich R., Graepel T.

Computational Social Science and the Wisdom of Crowds Workshop

Scaling the iHMM: Parallelization versus Hadoop

Bratieres, S. and Van Gael J., Vlachos A., Ghahramani Z.

2010 10th IEEE International Conference on Computer and Information Technology

Traffic Classification in Information Poor Environments

Rotsos C., Van Gael J., Moore A.W., Ghahramani Z.

1st International Workshop on Traffic Analysis and Classification

Predicting Information Spreading in Twitter

Zaman T.R., Herbrich R., Van Gael J., Stern D.

Computational Social Science and the Wisdom of Crowds Workshop


Variational inference for the Indian buffet process

Doshi-Velez F., Miller K.T., Van Gael J., Teh Y.W.

Proceedings of the Intl. Conf. on Artificial Intelligence and Statistics (AISTATS 2009)

The infinite HMM for unsupervised PoS tagging

Van Gael J., Vlachos A., Ghahramani Z.

Empirical Methods in Natural Language Processing (EMNLP 2009)

The infinite factorial hidden Markov model

Van Gael J., Teh Y.W., Ghahramani Z.

Advances in Neural Information Processing Systems (NIPS 2009)


Beam sampling for the infinite hidden markov model

Van Gael J., Saatci Y., Teh Y.W., Ghahramani Z.

Proceedings of the 25th international conference on Machine learning (ICML 2008)

Machine Learning for Bug Discovery

Doshi-Velez F., Van Gael J.


Improving diversity in ranking using absorbing random walks

Goldberg A.B., Zhu X., Van Gael J., Andrzejewski D.

Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT)

Van Gael J., Zhu X.

International Joint Conference on Artificial Intelligence (IJCAI 2007)


Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006

Goldberg A.B., Andrzejewski D., Van Gael J., Settles B., Zhu X., Craven M.

2010 10th IEEE International Conference on Computer and Information Technology