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All publications by David B. Dunson
authors venues years

**Parallelizing MCMC with Random Partition Trees**

*Xiangyu Wang*, *Fangjian Guo*, *Katherine A. Heller* and *David B. Dunson*

Advances in Neural Information Processing Systems 28, 2015

**On the consistency theory of high dimensional variable screening**

*Xiangyu Wang*, *Chenlei Leng* and *David B. Dunson*

Advances in Neural Information Processing Systems 28, 2015

**Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process**

*Ye Wang* and *David B. Dunson*

Advances in Neural Information Processing Systems 28, 2015

**Median Selection Subset Aggregation for Parallel Inference**

*Xiangyu Wang*, *Peichao Peng* and *David B. Dunson*

Advances in Neural Information Processing Systems 27, 2014

**Repulsive Mixtures**

*Francesca Petralia*, *Vinayak Rao* and *David B. Dunson*

Advances in Neural Information Processing Systems 25, 2012

**Multiresolution Gaussian Processes**

*Emily B. Fox* and *David B. Dunson*

Advances in Neural Information Processing Systems 25, 2012

**Lognormal and Gamma Mixed Negative Binomial Regression**

*Mingyuan Zhou*, *Lingbo Li*, *Lawrence Carin* and *David B. Dunson*

Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

**Bayesian Watermark Attacks**

*Ivo Shterev* and *David B. Dunson*

Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

**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

**Hierarchical Latent Dictionaries for Models of Brain Activation**

*Alona Fyshe*, *Emily B. Fox*, *David B. Dunson* and *Tom M. Mitchell*

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012

**Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices**

*Xianxing Zhang*, *Lawrence Carin* and *David B. Dunson*

Advances in Neural Information Processing Systems 24, 2011

**The Kernel Beta Process**

*Lu Ren*, *Yingjian Wang*, *Lawrence Carin* and *David B. Dunson*

Advances in Neural Information Processing Systems 24, 2011

**Generalized Beta Mixtures of Gaussians**

*Artin Armagan*, *Merlise Clyde* and *David B. Dunson*

Advances in Neural Information Processing Systems 24, 2011

**Tree-Structured Infinite Sparse Factor Model**

*Xianxing Zhang*, *Lawrence Carin* and *David B. Dunson*

Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011

**Approximate Dynamic Programming for Storage Problems **

*Lauren Hannah* and *David B. Dunson*

Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011

**Topic Modeling with Nonparametric Markov Tree**

*Haojun Chen*, *Lawrence Carin* and *David B. Dunson*

Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011

**The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning**

*Bo Chen*, *Gungor Polatkan*, *Guillermo Sapiro*, *Lawrence Carin* and *David B. Dunson*

Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011

**Dependent Hierarchical Beta Process for Image Interpolation and Denoising**

*Mingyuan Zhou*, *Hongxia Yang*, *Guillermo Sapiro*, *David B. Dunson* and *Lawrence Carin*

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011

**Joint Analysis of Time-Evolving Binary Matrices and Associated Documents**

*Eric Wang*, *Dehong Liu*, *Jorge Silva*, *Lawrence Carin* and *David B. Dunson*

Advances in Neural Information Processing Systems 23, 2010

**A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation**

*Lan Du*, *Lu Ren*, *Lawrence Carin* and *David B. Dunson*

Advances in Neural Information Processing Systems 22, 2009

**The dynamic hierarchical Dirichlet process**

*Lu Ren*, *David B. Dunson* and *Lawrence Carin*

Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

**Multi-task compressive sensing with Dirichlet process priors**

*Yuting Qi*, *Dehong Liu*, *David B. Dunson* and *Lawrence Carin*

Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

**Hierarchical kernel stick-breaking process for multi-task image analysis**

*Qi An*, *Chunping Wang*, *Ivo Shterev*, *Eric Wang*, *Lawrence Carin* and *David B. Dunson*

Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008

**The matrix stick-breaking process for flexible multi-task learning**

*Ya Xue*, *David B. Dunson* and *Lawrence Carin*

Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007

**Multi-task learning for sequential data via iHMMs and the nested Dirichlet process**

*Kai Ni*, *Lawrence Carin* and *David B. Dunson*

Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007