![]() | ![]() |
| 2012 | ||
|---|---|---|
| 33 | 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) | |
| 32 | 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) | |
| 31 | 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) | |
| 30 | 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) | |
| 2011 | ||
| 29 | Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin: Covariate-dependent dictionary learning and sparse coding. ICASSP 2011: 5824-5827 | |
| 28 | Lauren Hannah, David B. Dunson: Approximate Dynamic Programming for Storage Problems. ICML 2011: 337-344 | |
| 27 | 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 | |
| 26 | Haojun Chen, David B. Dunson, Lawrence Carin: Topic Modeling with Nonparametric Markov Tree. ICML 2011: 377-384 | |
| 25 | XianXing Zhang, David B. Dunson, Lawrence Carin: Tree-Structured Infinite Sparse Factor Model. ICML 2011: 785-792 | |
| 24 | XianYing Zhang, David B. Dunson, Lawrence Carin: Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices. NIPS 2011: 1395-1403 | |
| 23 | Artin Armagan, David B. Dunson, Merlise Clyde: Generalized Beta Mixtures of Gaussians. NIPS 2011: 523-531 | |
| 22 | Lu Ren, Yingjian Wang, David B. Dunson, Lawrence Carin: The Kernel Beta Process. NIPS 2011: 963-971 | |
| 21 | 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) | |
| 20 | 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) | |
| 19 | Lu Ren, Lan Du, Lawrence Carin, David B. Dunson: Logistic Stick-Breaking Process. Journal of Machine Learning Research 12: 203-239 (2011) | |
| 18 | Geoffrey J. Gordon, David B. Dunson: Preface. Journal of Machine Learning Research - Proceedings Track 15: 1-2 (2011) | |
| 17 | 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) | |
| 16 | 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) | |
| 2010 | ||
| 15 | 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 | |
| 14 | Bo Chen, Minhua Chen, John William Paisley, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Alfred 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) | |
| 13 | 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) | |
| 12 | 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) | |
| 11 | 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) | |
| 2009 | ||
| 10 | Chunping Wang, Qi An, Lawrence Carin, David B. Dunson: Multi-task classification with infinite local experts. ICASSP 2009: 1569-1572 | |
| 9 | Lu Ren, David B. Dunson, Scott Lindroth, Lawrence Carin: Music analysis with a Bayesian dynamic model. ICASSP 2009: 1681-1684 | |
| 8 | Lan Du, Lu Ren, David B. Dunson, Lawrence Carin: A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation. NIPS 2009: 486-494 | |
| 7 | Shihao Ji, David B. Dunson, Lawrence Carin: Multitask Compressive Sensing. IEEE Transactions on Signal Processing 57(1): 92-106 (2009) | |
| 2008 | ||
| 6 | 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 | |
| 5 | Yuting Qi, Dehong Liu, David B. Dunson, Lawrence Carin: Multi-task compressive sensing with Dirichlet process priors. ICML 2008: 768-775 | |
| 4 | Lu Ren, David B. Dunson, Lawrence Carin: The dynamic hierarchical Dirichlet process. ICML 2008: 824-831 | |
| 3 | 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) | |
| 2007 | ||
| 2 | Ya Xue, David B. Dunson, Lawrence Carin: The matrix stick-breaking process for flexible multi-task learning. ICML 2007: 1063-1070 | |
| 1 | Kai Ni, Lawrence Carin, David B. Dunson: Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. ICML 2007: 689-696 | |
Colors in the list of coauthors
Last update Tue May 29 20:41:18 2012 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page