Recent Papers

W.R. Carson, M. Chen, M.R.D. Rodrigues, R. Calderbank and L. Carin, Communications Inspired Projection Design with Application to Compressive Sensing, submitted

Y. Wang and L. Carin, Levy Measure Decompositions for the Beta and Gamma Processes (Supplementary material), Proc. Int. Conf. Machine Learning (ICML), 2012

S. Han, X. Liao, L. Carin, Cross-Domain Multitask Learning with Latent Probit Models, Proc. Int. Conf. Machine Learning (ICML), 2012

M. Chen, W. Carson, M. Rodrigues, R. Calderbank and L. Carin, Communications Inspired Linear Discriminant Analysis, Proc. Int. Conf. Machine Learning (ICML), 2012

M. Zhou, L. Li, D. Dunson, and L. Carin, Lognormal and Gamma Mixed Negative Binomial Regression (Supplementary Material), Proc. Int. Conf. Machine Learning (ICML), 2012

E. Salazar, M.S. Cain, E.F. Darling, S.R. Mitroff and L.Carin, Inferring Latent Structure From Mixed Real and Categorical Relational Data, Proc. Int. Conf. Machine Learning (ICML), 2012

X. Chen, M. Zhou, and L. Carin, The Contextual Focused Topic Model, Proc. ACM SIGKDD Conf. Knowledge Discovery and Data Mining, 2012

J. Silva and L. Carin, Active Learning for Online Bayesian Matrix Factorization, Proc. ACM SIGKDD Conf. Knowledge Discovery and Data Mining, 2012

A. Rajwade, D. Kittle, T.-H. Tsai, D. Brady and L. Carin, Coded Hyperspectral Imaging and Blind Compressive Sensing, submitted

B. Chen, G. Polatkan, G. Sapiro, D. Blei, D. Dunson and L. Carin, Deep Learning with Hierarchical Convolutional Factor Analysis (supplementary material), submitted

M. Zhou, L. Hannah, D. Dunson and L. Carin, Beta-Negative Binomial Process and Poisson Factor Analysis, AISTATS 2012

H. Chen, E. Fox, J. Silva, D. Dunson and L. Carin, Hierarchical Bayesian Embeddings for Analysis and Synthesis of Dynamic Data, submitted

M. Ding, L. He, D. Dunson and L. Carin, Nonparametric Bayesian Segmentation of Multivariate Inhomogeneous Space-Time Poisson Process, submitted

M. Chen, H. Wang, X. Liao and L. Carin, Bayesian Learning of Sparse Gaussian Graphical Models, submitted

E. Wang, E. Salazar, D. Dunson and L. Carin, Spatio-Temporal Modeling of Legislation and Votes, submitted

X. Zhang, D.B. Dunson, and L. Carin, Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices, (Supplementary Materials), Proc. Neural and Information Processing Systems (NIPS), 2011

L. Ren, Y. Wang, D. Dunson and L. Carin, The Kernel Beta Process (Supplementary Material), Proc. Neural and Information Processing Systems (NIPS), 2011

B. Chen, D.E. Carlson and L. Carin, On the Analysis of Multi-Channel Neural Spike Data, Proc. Neural and Information Processing Systems (NIPS), 2011

M. Chen, A. Zaas, C. Woods, G.S. Ginsburg, J. Lucas, D. Dunson and L. Carin, Predicting Viral Infection from High-Dimensional Biomarker Trajectories, J. Am. Statistical Association, 2011

Z. Xing, M. Zhou, A. Castrodad, G. Sapiro and L. Carin, Dictionary Learning for Noisy and Incomplete Hyperspectral Images, SIAM J. Imaging Sciences, 2011

M. Liu, X. Liao and L. Carin, The Infinite Regionalized Policy Representation, Proc. Int. Conf. Machine Learning (ICML), 2011

J. Paisley, L. Carin and D. Blei, Variational Inference for Stick-Breaking Beta Process Priors, Proc. Int. Conf. Machine Learning (ICML), 2011

X. Zhang, D.B. Dunson and L. Carin, Tree-Structured Infinite Sparse Factor Model, (Supplemental Material), Proc. Int. Conf. Machine Learning (ICML), 2011

L. Li, M. Zhou, G. Sapiro and L. Carin, On the Integration of Topic Modeling and Dictionary Learning, Proc. Int. Conf. Machine Learning (ICML), 2011

H. Chen, D.B. Dunson and L. Carin, Topic Modeling with Nonparametric Markov Tree, Proc. Int. Conf. Machine Learning (ICML), 2011

B. Chen, G. Polatkan, G. Sapiro, D. Dunson and L. Carin, The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning, Proc. Int. Conf. Machine Learning (ICML), 2011

M. Zhou, H. Yang, G. Sapiro, D. Dunson and L. Carin, Dependent Hierarchical Beta Process for Image Interpolation and Denoising, AISTATS, 2011

X. Ding, L. He and L. Carin, Bayesian Robust Principal Component Analysis, to appear in IEEE Trans. Image Processing

M. Zhou, H. Chen, J. Paisley, L. Ren, L. Li, Z. Xing, D. Dunson, G. Sapiro and L. Carin, Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images, to appear in IEEE Trans. Image Processing

L. Ren, L. Du, L. Carin and D. Dunson, Logistic Stick-Breaking Process, to appear in J. Machine Learning Research (code is here)

L. Carin, D. Liu and B. Guo, Coherence, Compressive Sensing and Random Sensor Arrays, to appear in IEEE Antennas and Propagation Magazine, 2011

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

E. Wang, D. Liu, J. Silva, D. Dunson and L. Carin, Joint Analysis of Time-Evolving Binary Matrices and Associated Documents, Proc. Neural and Information Processing Systems (NIPS), 2010

M. Zhou, C. Wang, M. Chen, J. Paisley, D. Dunson and L. Carin, Nonparametric Bayesian Matrix Completion, 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop

L. Du, M. Chen, J. Lucas and L. Carin, Sticky Hidden Markov Modeling of Comparative Genomic Hybridization, IEEE Trans. Signal Processing, 2010.

M. Chen, D. Carlson, A. Zaas, C. Woods, G.S. Ginsburg, J. Lucas and L. Carin, Detection of viruses via statistical gene-expression analysis, accepted for publication in IEEE Trans. Biomedical Engineering

J. Paisley, A. Zaas, C.W. Woods, G.S. Ginsburg and L. Carin, A Stick-Breaking Construction of the Beta Process, Int. Conf. Machine Learning (ICML), June 2010

J. Paisley, X. Liao and L. Carin, Active learning and basis selection for kernel-based linear models: A Bayesian perspective, IEEE Trans. Signal Processing, 2010.

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

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

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, to appear in 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, to appear in IEEE Trans. Signal Processing

L. He, H. Chen and L. Carin, Tree-Structured Compressive Sensing with Variational Bayesian Analysis, IEEE Signal Processing Letters, 2009

L. Ren, D. Dunson, S. Lindroth and L. Carin, Dynamic Nonparametric Bayesian Models for Analysis of Music, J. American Statistical Association (JASA), 2010.

I. Pruteanu-Malinici, L. Ren, J. Paisley, E. Wang and L. Carin, Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents, IEEE Trans. Pattern Analysis Machine Intelligence, 2010.

J. Paisley and L. Carin, Hidden Markov Models with Stick-Breaking Priors, IEEE Trans. Signal Processing, 2010

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, IEEE Antennas & Propagation Magazine, October 2009.

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

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