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All publications by Jeff G. Schneider
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Maximum Margin Output Coding
Yi Zhang and Jeff G. Schneider
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Copula-based Kernel Dependency Measures
Zoubin Ghahramani, Barnabás Póczos and Jeff G. Schneider
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Bayesian Optimal Active Search and Surveying
Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Richard Mann and Jeff G. Schneider
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Nonparametric Estimation of Conditional Information and Divergences
Barnabás Póczos and Jeff G. Schneider
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Learning Auto-regressive Models from Sequence and Non-sequence Data
Tzu-kuo Huang and Jeff G. Schneider
Advances in Neural Information Processing Systems 24, 2011


Group Anomaly Detection using Flexible Genre Models
Liang Xiong, Barnabás Póczos and Jeff G. Schneider
Advances in Neural Information Processing Systems 24, 2011


Multi-Label Output Codes using Canonical Correlation Analysis
Yi Zhang and Jeff G. Schneider
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Hierarchical Probabilistic Models for Group Anomaly Detection
Liang Xiong, Barnabás Póczos, Jeff G. Schneider, Andrew Connolly and Jake Vanderplas
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


On the Estimation of alpha-Divergences
Barnabás Póczos and Jeff G. Schneider
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Projection Penalties: Dimension Reduction without Loss
Yi Zhang and Jeff G. Schneider
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
Yi Zhang and Jeff G. Schneider
Advances in Neural Information Processing Systems 23, 2010


Learning Nonlinear Dynamic Models from Non-sequenced Data
Tzu-kuo Huang, Le Song and Jeff G. Schneider
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Learning linear dynamical systems without sequence information
Tzu-kuo Huang and Jeff G. Schneider
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Actively learning level-sets of composite functions
Brent Bryan and Jeff G. Schneider
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
Yi Zhang, Artur Dubrawski and Jeff G. Schneider
Advances in Neural Information Processing Systems 21, 2008


Efficiently computing minimax expected-size confidence regions
Brent Bryan, H. B. Mcmahan, Chad M. Schafer and Jeff G. Schneider
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries
Jeremy Kubica, Andrew W. Moore, David Cohn and Jeff G. Schneider
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Policy Search by Dynamic Programming
J. A. Bagnell, Sham M. Kakade, Jeff G. Schneider and Andrew Y. Ng
Advances in Neural Information Processing Systems 16, 2003