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All publications by John W. Paisley
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Variational Bayesian Inference with Stochastic Search
David M. Blei, Michael I. Jordan and John W. Paisley
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Stick-Breaking Beta Processes and the Poisson Process
John W. Paisley, David M. Blei and Michael I. Jordan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Variational Inference for Stick-Breaking Beta Process Priors
Lawrence Carin, David M. Blei and John W. Paisley
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Online Variational Inference for the Hierarchical Dirichlet Process
Chong Wang, John W. Paisley and David M. Blei
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
John W. Paisley, Chong Wang and David M. Blei
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A Stick-Breaking Construction of the Beta Process
John W. Paisley, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg and Lawrence Carin
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Nonparametric factor analysis with beta process priors
John W. Paisley and Lawrence Carin
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
Mingyuan Zhou, Haojun Chen, Lu Ren, Guillermo Sapiro, Lawrence Carin and John W. Paisley
Advances in Neural Information Processing Systems 22, 2009