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