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All publications by Lauren Hannah
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Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design
Lauren Hannah and David B. Dunson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Beta-Negative Binomial Process and Poisson Factor Analysis
Mingyuan Zhou, Lauren Hannah, David B. Dunson and Lawrence Carin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Approximate Dynamic Programming for Storage Problems
Lauren Hannah and David B. Dunson
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
Lauren Hannah, Warren Powell and David M. Blei
Advances in Neural Information Processing Systems 23, 2010


Dirichlet Process Mixtures of Generalized Linear Models
Lauren Hannah, David M. Blei and Warren B. Powell
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010