Search Machine Learning Repository:
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