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All publications by John W. Paisley
authors venues years

**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