David B. Dunson

Duke University, Department of Statistical Science

	2013
j19		Debdeep Pati, David B. Dunson, Surya T. Tokdar: Posterior consistency in conditional distribution estimation. J. Multivariate Analysis 116: 456-472 (2013)
i6		Eric F. Lock, David B. Dunson: Bayesian Consensus Clustering. CoRR abs/1302.7280 (2013)
i5		Rajarshi Guhaniyogi, David B. Dunson: Bayesian Compressed Regression. CoRR abs/1303.0642 (2013)
i4		Bruno Cornelis, Yun Yang, Joshua T. Vogelstein, Ann Dooms, Ingrid Daubechies, David B. Dunson: Bayesian crack detection in ultra high resolution multimodal images of paintings. CoRR abs/1304.5894 (2013)
i3		David C. Kessler, Jack Taylor, David B. Dunson: Learning Densities Conditional on Many Interacting Features. CoRR abs/1304.7230 (2013)
	2012
j18		Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M. Mitchell: Hierarchical Latent Dictionaries for Models of Brain Activation. Journal of Machine Learning Research - Proceedings Track 22: 409-421 (2012)
j17		Mingyuan Zhou, Lauren Hannah, David B. Dunson, Lawrence Carin: Beta-Negative Binomial Process and Poisson Factor Analysis. Journal of Machine Learning Research - Proceedings Track 22: 1462-1471 (2012)
j16		Abhishek Bhattacharya, David B. Dunson: Nonparametric Bayes classification and hypothesis testing on manifolds. J. Multivariate Analysis 111: 1-19 (2012)
j15		Zhaowei Hua, David B. Dunson, John H. Gilmore, Martin Andreas Styner, Hongtu Zhu: Semiparametric Bayesian local functional models for diffusion tensor tract statistics. NeuroImage 63(1): 460-474 (2012)
j14		Lawrence Carin, Alfred O. Hero III, Joseph E. Lucas, David B. Dunson, Minhua Chen, Ricardo Henao, Arnau Tibau-Piug, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg: High Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections. IEEE Signal Process. Mag. 29(1): 108-123 (2012)
j13		Mingyuan Zhou, Haojun Chen, John William Paisley, Lu Ren, Lingbo Li, Zhengming Xing, David B. Dunson, Guillermo Sapiro, Lawrence Carin: Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images. IEEE Transactions on Image Processing 21(1): 130-144 (2012)
c22		Lauren Hannah, David B. Dunson: Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design. ICML 2012
c21		Ivo Shterev, David B. Dunson: Bayesian Watermark Attacks. ICML 2012
c20		Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin: Lognormal and Gamma Mixed Negative Binomial Regression. ICML 2012
c19		Emily B. Fox, David B. Dunson: Multiresolution Gaussian Processes. NIPS 2012: 746-754
c18		Francesca Petralia, Vinayak Rao, David B. Dunson: Repulsive Mixtures. NIPS 2012: 1898-1906
i2		Lauren Hannah, David B. Dunson: Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design. CoRR abs/1206.4645 (2012)
i1		Ivo Shterev, David B. Dunson: Bayesian Watermark Attacks. CoRR abs/1206.4662 (2012)
	2011
j12		Lu Ren, Lan Du, Lawrence Carin, David B. Dunson: Logistic Stick-Breaking Process. Journal of Machine Learning Research 12: 203-239 (2011)
j11		Geoffrey J. Gordon, David B. Dunson: Preface. Journal of Machine Learning Research - Proceedings Track 15: 1-2 (2011)
j10		Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin: Dependent Hierarchical Beta Process for Image Interpolation and Denoising. Journal of Machine Learning Research - Proceedings Track 15: 883-891 (2011)
j9		Chuanhua Xing, David B. Dunson: Bayesian Inference for Genomic Data Integration Reduces Misclassification Rate in Predicting Protein-Protein Interactions. PLoS Computational Biology 7(7) (2011)
j8		Lawrence Carin, Richard G. Baraniuk, Volkan Cevher, David B. Dunson, Michael I. Jordan, Guillermo Sapiro, Michael B. Wakin: Learning Low-Dimensional Signal Models. IEEE Signal Process. Mag. 28(2): 39-51 (2011)
j7		Minhua Chen, Jorge Silva, John William Paisley, Chunping Wang, David B. Dunson, Lawrence Carin: Corrections to "Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds". IEEE Transactions on Signal Processing 59(3): 1329 (2011)
c17		Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin: Covariate-dependent dictionary learning and sparse coding. ICASSP 2011: 5824-5827
c16		Lauren Hannah, David B. Dunson: Approximate Dynamic Programming for Storage Problems. ICML 2011: 337-344
c15		Bo Chen, Gungor Polatkan, Guillermo Sapiro, David B. Dunson, Lawrence Carin: The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning. ICML 2011: 361-368
c14		Haojun Chen, David B. Dunson, Lawrence Carin: Topic Modeling with Nonparametric Markov Tree. ICML 2011: 377-384
c13		XianXing Zhang, David B. Dunson, Lawrence Carin: Tree-Structured Infinite Sparse Factor Model. ICML 2011: 785-792
c12		Artin Armagan, David B. Dunson, Merlise Clyde: Generalized Beta Mixtures of Gaussians. NIPS 2011: 523-531
c11		Lu Ren, Yingjian Wang, David B. Dunson, Lawrence Carin: The Kernel Beta Process. NIPS 2011: 963-971
c10		XianXing Zhang, David B. Dunson, Lawrence Carin: Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices. NIPS 2011: 1395-1403
	2010
j6		Bo Chen, Minhua Chen, John William Paisley, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Alfred O. Hero, Joseph E. Lucas, David B. Dunson, Lawrence Carin: Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies. BMC Bioinformatics 11: 552 (2010)
j5		Mingan Yang, David B. Dunson, Donna Baird: Semiparametric Bayes hierarchical models with mean and variance constraints. Computational Statistics & Data Analysis 54(9): 2172-2186 (2010)
j4		Chunping Wang, Xuejun Liao, Lawrence Carin, David B. Dunson: Classification with Incomplete Data Using Dirichlet Process Priors. Journal of Machine Learning Research 11: 3269-3311 (2010)
j3		Minhua Chen, Jorge Silva, John William Paisley, Chunping Wang, David B. Dunson, Lawrence Carin: Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds. IEEE Transactions on Signal Processing 58(12): 6140-6155 (2010)
c9		Eric Wang, Dehong Liu, Jorge Silva, David B. Dunson, Lawrence Carin: Joint Analysis of Time-Evolving Binary Matrices and Associated Documents. NIPS 2010: 2370-2378
	2009
j2		Shihao Ji, David B. Dunson, Lawrence Carin: Multitask Compressive Sensing. IEEE Transactions on Signal Processing 57(1): 92-106 (2009)
c8		Chunping Wang, Qi An, Lawrence Carin, David B. Dunson: Multi-task classification with infinite local experts. ICASSP 2009: 1569-1572
c7		Lu Ren, David B. Dunson, Scott Lindroth, Lawrence Carin: Music analysis with a Bayesian dynamic model. ICASSP 2009: 1681-1684
c6		Lan Du, Lu Ren, David B. Dunson, Lawrence Carin: A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation. NIPS 2009: 486-494
	2008
j1		Kai Ni, John William Paisley, Lawrence Carin, David B. Dunson: Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data. IEEE Transactions on Signal Processing 56(8-2): 3918-3931 (2008)
c5		Qi An, Chunping Wang, Ivo Shterev, Eric Wang, Lawrence Carin, David B. Dunson: Hierarchical kernel stick-breaking process for multi-task image analysis. ICML 2008: 17-24
c4		Yuting Qi, Dehong Liu, David B. Dunson, Lawrence Carin: Multi-task compressive sensing with Dirichlet process priors. ICML 2008: 768-775
c3		Lu Ren, David B. Dunson, Lawrence Carin: The dynamic hierarchical Dirichlet process. ICML 2008: 824-831
	2007
c2		Kai Ni, Lawrence Carin, David B. Dunson: Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. ICML 2007: 689-696
c1		Ya Xue, David B. Dunson, Lawrence Carin: The matrix stick-breaking process for flexible multi-task learning. ICML 2007: 1063-1070

Coauthor Index

Colors in the list of coauthors

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