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All publications by Lyle H. Ungar
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Two Step CCA: A new spectral method for estimating vector models of words
Paramveer Dhillon, Jordan Rodu, Dean P. Foster and Lyle H. Ungar
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Multi-View Learning of Word Embeddings via CCA
Paramveer Dhillon, Dean P. Foster and Lyle H. Ungar
Advances in Neural Information Processing Systems 24, 2011


Feature Selection using Multiple Streams
Paramveer S. Dhillon, Dean P. Foster and Lyle H. Ungar
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Regularized Learning with Networks of Features
Ted Sandler, John Blitzer, Partha P. Talukdar and Lyle H. Ungar
Advances in Neural Information Processing Systems 21, 2008


Streamwise Feature Selection
Jing Zhou, Dean P. Foster, Robert A. Stine and Lyle H. Ungar
Journal of Machine Learning Research, 2006


Mixtures of Conditional Maximum Entropy Models
Dmitry Pavlov, Alexandrin Popescul, David M. Pennock and Lyle H. Ungar
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003