Recent Papers

 

M. Zhou, H. Chen, J. Paisley, L. Ren, G. Sapiro and L. Carin, Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations, to appear at Neural and Information Processing Systems (NIPS), 2009.

 

L. Du, L. Ren, D. Dunson and L. Carin, A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation, to appear at Neural and Information Processing Systems (NIPS), 2009.

 

C. Cai, X. Liao, and L. Carin, Learning to Explore and Exploit in POMDPs, to appear at Neural and Information Processing Systems (NIPS), 2009.

 

L. Du, M. Chen, J. Lucas and L. Carin, Sticky Hidden Markov Modeling of Comparative Genomic Hybridization, submitted to IEEE Trans. Signal Processing

 

B. Chen, M. Chen, J. Paisley, A. Zaas, C. Woods, G.S. Ginsburg, A. Hero III, J. Lucas, D. Dunson and L. Carin, Nonparametric Bayesian Factor Analysis: Application to Time-Evolving Viral Gene-Expression Data, submitted to BMC Bioinformatics

 

M. Chen, J. Silva, J. Paisley, C. Wang, D. Dunson and L. Carin, Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds, submitted to IEEE Trans. Signal Processing

 

M. Chen, D. Carlson, A. Zaas, C. Woods, G.S. Ginsburg, A. Hero III, J. Lucas and L. Carin, The Bayesian Elastic Net: Classifying Multi-Task Gene-Expression Data, submitted to IEEE Trans. Signal Processing

 

L. He, H. Chen and L. Carin, Tree-Structured Compressive Sensing with Variational Bayesian Analysis, submitted to IEEE Signal Processing Letters

 

L. Ren, L. Du, L. Carin and D. Dunson, Logistic Stick-Breaking Process, submitted to J. Machine Learning Research

 

L. Ren, D. Dunson, S. Lindroth and L. Carin, Dynamic Nonparametric Bayesian Models for Analysis of Music, to appear in J. American Statistical Association (JASA)

 

I. Pruteanu-Malinici, L. Ren, J. Paisley, E. Wang and L. Carin, Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents, to appear in IEEE Trans. Pattern Analysis Machine Intelligence

 

J. Paisley and L. Carin, Hidden Markov Models with Stick-Breaking Priors, to appear in IEEE Trans. Signal Processing

 

J. Paisley and L. Carin, Nonparametric Factor Analysis with Beta Process Priors, 2009 Int. Conf. Machine Learning (ICML)

 

H. Li, X. Liao and L. Carin, Multi-task Reinforcement Learning in Partially Observable Stochastic Environments, J. Machine Learning Research, 2009

 

L. Carin, On the Relationship Between Compressive Sensing and Random Sensor Arrays, to appear in IEEE Antennas & Propagation Magazine

 

L. Du, M. Chen, Q. An, L. Carin, A. Zaas and D. Dunson, The Hierarchical Local Partition Process, submitted to J. Machine Learning Research

 

Q. Liu, X. Liao, H. Li, J. Stack and L. Carin, Semi-Supervised Multitask Learning, IEEE Trans. Pattern Analysis & Machine Intelligence, 2009

 

C. Wang, X. Liao, D. Dunson and L. Carin, Multi-Task Learning for Incomplete Data, submitted to J. Machine Learning Research

 

L. He and L. Carin, Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing, IEEE Trans. Signal Processing, Sept 2009