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All publications by Dean P. Foster
authors venues years



large scale canonical correlation analysis with iterative least squares
Yichao Lu and Dean P. Foster
Advances in Neural Information Processing Systems 27, 2014


One-shot learning and big data with n=2
Lee H. Dicker and Dean P. Foster
Advances in Neural Information Processing Systems 26, 2013


Faster Ridge Regression via the Subsampled Randomized Hadamard Transform
Yichao Lu, Paramveer Dhillon, Dean P. Foster and Lyle Ungar
Advances in Neural Information Processing Systems 26, 2013


New Subsampling Algorithms for Fast Least Squares Regression
Paramveer Dhillon, Yichao Lu, Dean P. Foster and Lyle Ungar
Advances in Neural Information Processing Systems 26, 2013


A Spectral Algorithm for Latent Dirichlet Allocation
Anima Anandkumar, Yi-kai Liu, Daniel J. Hsu, Dean P. Foster and Sham M. Kakade
Advances in Neural Information Processing Systems 25, 2012


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


Domain Adaptation: A Small Sample Statistical Approach
Ruslan Salakhutdinov, Sham M. Kakade and Dean P. Foster
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


No Internal Regret via Neighborhood Watch
Dean P. Foster and Alexander Rakhlin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Stochastic convex optimization with bandit feedback
Alekh Agarwal, Dean P. Foster, Daniel J. Hsu, Sham M. Kakade and Alexander Rakhlin
Advances in Neural Information Processing Systems 24, 2011


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


Domain Adaptation with Coupled Subspaces
John Blitzer, Sham Kakade and Dean P. Foster
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 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


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