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All publications by David Page
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Multiple Testing under Dependence via Semiparametric Graphical Models
Jie Liu, Chunming Zhang, Elizabeth Burnside and David Page
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models
Jie Liu and David Page
Advances in Neural Information Processing Systems 26, 2013


Multiplicative Forests for Continuous-Time Processes
Jeremy Weiss, Sriraam Natarajan and David Page
Advances in Neural Information Processing Systems 25, 2012


Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events
Jesse Davis, Vitor S. Costa, Peggy Peissig, Michael Caldwell, Elizabeth Berg and David Page
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation
Kendrick Boyd, Vitor S. Costa, Jesse Davis and David Page
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


High-Dimensional Structured Feature Screening Using Binary Markov Random Fields
Jie Liu, Chunming Zhang, Catherine A. Mccarty, Peggy L. Peissig, Elizabeth S. Burnside and David Page
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions
Lisa Hellerstein, Bernard Rosell, Eric Bach, Soumya Ray and David Page
Journal of Machine Learning Research, 2009


An integrated approach to feature invention and model construction for drug activity prediction
Jesse Davis, V\'─▒tor S. Costa, Soumya Ray and David Page
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Why skewing works: learning difficult Boolean functions with greedy tree learners
Bernard Rosell, Lisa Hellerstein, Soumya Ray and David Page
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Generalized skewing for functions with continuous and nominal attributes
Soumya Ray and David Page
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Multi-instance tree learning
Hendrik Blockeel, David Page and Ashwin Srinivasan
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Sequential skewing: an improved skewing algorithm
Soumya Ray and David Page
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


ILP: A Short Look Back and a Longer Look Forward
David Page and Ashwin Srinivasan
Journal of Machine Learning Research, 2003