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All publications by Jennifer G. Dy
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Active Learning from Multiple Knowledge Sources
Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao and Jennifer G. Dy
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views
Donglin Niu, Jennifer G. Dy and Zoubin Ghahramani
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Active Learning from Crowds
Yan Yan, Glenn M. Fung, Rómer Rosales and Jennifer G. Dy
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection
Yue Guan, Michael I. Jordan and Jennifer G. Dy
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Dimensionality Reduction for Spectral Clustering
Donglin Niu, Jennifer G. Dy and Michael I. Jordan
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Multiple Non-Redundant Spectral Clustering Views
Donglin Niu, Jennifer G. Dy and Michael I. Jordan
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


From Transformation-Based Dimensionality Reduction to Feature Selection
Mahdokht Masaeli, Jennifer G. Dy and Glenn M. Fung
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Modeling annotator expertise: Learning when everybody knows a bit of something
Yan Yan, Rómer Rosales, Glenn Fung, Mark W. Schmidt, Gerardo H. Valadez, Luca Bogoni, Linda Moy and Jennifer G. Dy
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Using Local Dependencies within Batches to Improve Large Margin Classifiers
Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy and R. B. Rao
Journal of Machine Learning Research, 2009


Sparse Probabilistic Principal Component Analysis
Yue Guan and Jennifer G. Dy
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


A hierarchical method for multi-class support vector machines
Volkan Vural and Jennifer G. Dy
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Automated hierarchical mixtures of probabilistic principal component analyzers
Ting Su and Jennifer G. Dy
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Feature Selection for Unsupervised Learning
Jennifer G. Dy and Carla E. Brodley
Journal of Machine Learning Research, 2004