Xuejun Liao

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All published works

Action	Title	Year	Authors
+ PDF Chat	Unsupervised Learning with Truncated Gaussian Graphical Models	2017	Qinliang Su Xuejun Liao Chunyuan Li Zhe Gan Lawrence Carin
+	A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks	2017	Qinliang Su Xuejun Liao Lawrence Carin
+	Nonlinear statistical learning with truncated Gaussian graphical models	2016	Qinliang Su Xuejun Liao Changyou Chen Lawrence Carin
+	Partially observable Markov decision processes for risk-based screening	2016	Alex Mrozack Xuejun Liao Sondre Skatter Lawrence Carin
+	Variational Gaussian Copula Inference	2016	Shaobo Han Xuejun Liao David B. Dunson Lawrence Carin
+	Nonlinear Statistical Learning with Truncated Gaussian Graphical Models	2016	Qinliang Su Xuejun Liao Changyou Chen Lawrence Carin
+	Unsupervised Learning with Truncated Gaussian Graphical Models	2016	Qinliang Su Xuejun Liao Chunyuan Li Zhe Gan Lawrence Carin
+	Variational Gaussian Copula Inference	2015	Shaobo Han Xuejun Liao David B. Dunson Lawrence Carin
+	On Marine Mammal Acoustic Detection Performance Bounds	2015	Yin Xian L. W. Nolte Stacy L. Tantum Xuejun Liao Yuan Zhang
+	Stick-Breaking Policy Learning in Dec-POMDPs	2015	Miao Liu Christopher Amato Xuejun Liao Lawrence Carin Jonathan P. How
+ PDF Chat	Low-Cost Compressive Sensing for Color Video and Depth	2014	Xin Yuan Patrick Llull Xuejun Liao Jianbo Yang David J. Brady Guillermo Sapiro Lawrence Carin
+ PDF Chat	An Active Learning Approach for Rapid Characterization of Endothelial Cells in Human Tumors	2014	Raghav Padmanabhan Vinay H. Somasundar Sandra D. Griffith Jianliang Zhu Drew Samoyedny Kay See Tan Jiahao Hu Xuejun Liao Lawrence Carin Sam S. Yoon
+	Low-Cost Compressive Sensing for Color Video and Depth	2014	Xin Yuan Patrick Llull Xuejun Liao Jianbo Yang Guillermo Sapiro David J. Brady Lawrence Carin
+	Integrated Non-Factorized Variational Inference	2013	Shaobo Han Xuejun Liao Lawrence Carin
+ PDF Chat	Adaptive temporal compressive sensing for video	2013	Xin Yuan Jianbo Yang Patrick Llull Xuejun Liao Guillermo Sapiro David J. Brady Lawrence Carin
+	Coded aperture compressive temporal imaging	2013	Patrick Llull Xuejun Liao Xin Yuan Jianbo Yang David Kittle Lawrence Carin Guillermo Sapiro David J. Brady
+	Cross-Domain Multitask Learning with Latent Probit Models	2012	Shaobo Han Xuejun Liao Lawrence Carin
+	Nonparametric Bayesian feature selection for multi-task learning	2011	Hui Li Xuejun Liao Lawrence Carin
+	Classification with Incomplete Data Using Dirichlet Process Priors.	2010	Chunping Wang Xuejun Liao Lawrence Carin David B. Dunson
+ PDF Chat	Quadratically gated mixture of experts for incomplete data classification	2007	Xuejun Liao Hui Li Lawrence Carin
+	Multi-Task Learning for Classification with Dirichlet Process Priors	2007	Ya Xue Xuejun Liao Lawrence Carin Balaji Krishnapuram
+ PDF Chat	On Classification with Incomplete Data	2007	D. A. Williams Xuejun Liao Ya Xue Lawrence Carin Balaji Krishnapuram
+	Incomplete-data classification using logistic regression	2005	David P. Williams Xuejun Liao Ya Xue Lawrence Carin

Common Coauthors

Coauthor	Papers Together
Lawrence Carin	22
Qinliang Su	5
Patrick Llull	4
David J. Brady	4
Xin Yuan	4
Shaobo Han	4
Guillermo Sapiro	4
Ya Xue	3
David B. Dunson	3
Changyou Chen	2
Balaji Krishnapuram	2
Jianbo Yang	2
Zhe Gan	2
Jianbo Yang	2
Chunyuan Li	2
David P. Williams	1
Stacy L. Tantum	1
Raghav Padmanabhan	1
Kay See Tan	1
Drew Samoyedny	1
Jianliang Zhu	1
William M. F. Lee	1
Daniel F. Heitjan	1
Sandra D. Griffith	1
Alex Mrozack	1
Yin Xian	1
Jiahao Hu	1
Badrinath Roysam	1
Priti Lal	1
Sondre Skatter	1
Keith T. Flaherty	1
Miao Liu	1
Yuan Zhang	1
Hui Li	1
Hui Li	1
Jonathan P. How	1
Robert S. DiPaola	1
D. A. Williams	1
Chunping Wang	1
Vinay H. Somasundar	1
David Kittle	1
Christopher Amato	1
Michael D. Feldman	1
Loren W. Nolte	1
Sam S. Yoon	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	6
+	Bayesian Analysis of Binary and Polychotomous Response Data	1993	James H. Albert Siddhartha Chib	5
+	Multiple Imputation for Nonresponse in Surveys	1987	Donald B. Rubin	4
+ PDF Chat	A Bayesian Analysis of Some Nonparametric Problems	1973	Thomas S. Ferguson	4
+	Incomplete Data in Generalized Linear Models	1990	Joseph G. Ibrahim	4
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Learning Gaussian Graphical Models with Observed or Latent FVSs	2013	Ying D. Liu Alan S. Willsky	4
+	Nonlinear Statistical Learning with Truncated Gaussian Graphical Models	2016	Qinliang Su Xuejun Liao Changyou Chen Lawrence Carin	3
+	Gibbs Sampling Methods for Stick-Breaking Priors	2001	Hemant Ishwaran Lancelot F. James	3
+	A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration	2007	José M. Bioucas‐Dias Mário A. T. Figueiredo	3
+	Inductive Principles for Restricted Boltzmann Machine Learning	2010	Benjamin M. Marlin Kevin Swersky Bo Chen Nando de Freitas	3
+	Numerical Computation of Multivariate Normal Probabilities	1992	Alan Genz	3
+	Kernel Matrix Completion by Semidefinite Programming	2002	Thore Graepel	3
+	Coded aperture compressive temporal imaging	2013	Patrick Llull Xuejun Liao Xin Yuan Jianbo Yang David Kittle Lawrence Carin Guillermo Sapiro David J. Brady	3
+ PDF Chat	Missing data: Our view of the state of the art.	2002	Joseph L. Schafer John W. Graham	3
+	Learning Latent Variable Gaussian Graphical Models	2014	Zhaoshi Meng Brian Eriksson Alfred O. Hero	3
+	None	2001	Radford M. Neal	2
+	The Analysis and Interpretation of Multivariate Data for Social Scientists	2002	Jane Galbraith Irini Moustaki David J. Bartholomew Fiona Steele	2
+	Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing	2008	Wotao Yin Stanley Osher Donald Goldfarb Jérôme Darbon	2
+	Variational Bayesian Model Selection for Mixture Distributions	2001	Adrian Corduneanu Chris Bishop	2
+	The Impact of multiple imputation for DACSEIS	2004	Susanne Rässler	2
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	2
+	The epsilon–skew–normal distribution for analyzing near-normal data	2000	Govind S. Mudholkar Alan D. Hutson	2
+	The Variational Bayesian EM Algorithm for Incomplete Data: With Application to Scoring Graphical Model Structures	2003	Matthew J. Beal Zoubin Ghahramani	2
+	A Wavelet Tour of Signal Processing : The Sparse Way	2008	Stéphane Mallat Gabriel Peyré	2
+	Variational Bayesian Inference with Stochastic Search	2012	John Paisley David M. Blei Michael I. Jordan	2
+ PDF Chat	Variational inference for Dirichlet process mixtures	2006	David M. Blei Michael I. Jordan	2
+ PDF Chat	Quadratically gated mixture of experts for incomplete data classification	2007	Xuejun Liao Hui Li Lawrence Carin	2
+	Copula Bayesian Networks	2010	Gal Elidan	2
+ PDF Chat	Fast simulation of truncated Gaussian distributions	2010	Nicolás Chopin	2
+ PDF Chat	Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity	2011	Guoshen Yu Guillermo Sapiro Stéphane Mallat	2
+	A Learning Algorithm for Boltzmann Machines*	1985	David H. Ackley Geoffrey E. Hinton Terrence J. Sejnowski	2
+	Bayesian Density Estimation and Inference Using Mixtures	1995	Michael Escobar Mike West	2
+	Multi-Task Learning for Classification with Dirichlet Process Priors	2007	Ya Xue Xuejun Liao Lawrence Carin Balaji Krishnapuram	2
+ PDF Chat	Simulation of truncated normal variables	1995	Christian P. Robert	2
+	Facilitating the Gibbs Sampler: The Gibbs Stopper and the Griddy-Gibbs Sampler	1992	Christian Ritter Martin A. Tanner	1
+	Dirichlet Process Mixed Generalized Linear Models	1997	Saurabh Mukhopadhyay Alan E. Gelfand	1
+	A comparison of inclusive and restrictive strategies in modern missing data procedures.	2001	Linda M. Collins Joseph L. Schafer Chi-Ming Kam	1
+	Multivariate Dispersion Models Generated From Gaussian Copula	2000	Peter X.‐K. Song	1
+ PDF Chat	Adaptive temporal compressive sensing for video	2013	Xin Yuan Jianbo Yang Patrick Llull Xuejun Liao Guillermo Sapiro David J. Brady Lawrence Carin	1
+ PDF Chat	Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems	1974	C. Antoniak	1
+ PDF Chat	Bayesian nonparametric functional data analysis through density estimation	2009	Abel Rodrìguez David B. Dunson Alan E. Gelfand	1
+	Probabilistic Inference Using Markov Chain Monte Carlo Methods	2011	Radford M. Neal	1
+ PDF Chat	Some history of the hierarchical Bayesian methodology	1980	I. J. Good	1
+ PDF Chat	Bounds for the Ratio of Two Gamma Functions	2010	Feng Qi	1
+ PDF Chat	The Probable Error of a Mean	1908	Student	1
+	Moments of a Truncated Bivariate Normal Distribution	1961	Stacy Rosenbaum	1
+	Expectation Propagation for approximate Bayesian inference	2013	Thomas P. Minka	1
+	Markov Chain Sampling Methods for Dirichlet Process Mixture Models	2000	Radford M. Neal	1
+	Learning Activation Functions to Improve Deep Neural Networks	2014	Forest Agostinelli Matthew D. Hoffman Peter Sadowski Pierre Baldi	1