Liao, Xuejun

24 publications

NeurIPS 2017 A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks Qinliang Su, Xuejun Liao, Lawrence Carin

AAAI 2017 Unsupervised Learning with Truncated Gaussian Graphical Models Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin

NeurIPS 2016 Linear Feature Encoding for Reinforcement Learning Zhao Song, Ronald E Parr, Xuejun Liao, Lawrence Carin

ICML 2016 Nonlinear Statistical Learning with Truncated Gaussian Graphical Models Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin

AISTATS 2016 Variational Gaussian Copula Inference Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin

IJCAI 2015 Stick-Breaking Policy Learning in Dec-POMDPs Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How

NeurIPS 2014 Compressive Sensing of Signals from a GMM with Sparse Precision Matrices Jianbo Yang, Xuejun Liao, Minhua Chen, Lawrence Carin

CVPR 2014 Low-Cost Compressive Sensing for Color Video and Depth Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, David J. Brady, Guillermo Sapiro, Lawrence Carin

NeurIPS 2013 Integrated Non-Factorized Variational Inference Shaobo Han, Xuejun Liao, Lawrence Carin

IJCAI 2013 Online Expectation Maximization for Reinforcement Learning in POMDPs Miao Liu, Xuejun Liao, Lawrence Carin

ICML 2012 Cross-Domain Multitask Learning with Latent Probit Models Shaobo Han, Xuejun Liao, Lawrence Carin

ICML 2011 The Infinite Regionalized Policy Representation Miao Liu, Xuejun Liao, Lawrence Carin

JMLR 2010 Classification with Incomplete Data Using Dirichlet Process Priors Chunping Wang, Xuejun Liao, Lawrence Carin, David B. Dunson

NeurIPS 2009 Learning to Explore and Exploit in POMDPs Chenghui Cai, Xuejun Liao, Lawrence Carin

JMLR 2009 Multi-Task Reinforcement Learning in Partially Observable Stochastic Environments Hui Li, Xuejun Liao, Lawrence Carin

JMLR 2007 Multi-Task Learning for Classification with Dirichlet Process Priors Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram

AAAI 2007 Point-Based Policy Iteration Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin

ICML 2007 Quadratically Gated Mixture of Experts for Incomplete Data Classification Xuejun Liao, Hui Li, Lawrence Carin

NeurIPS 2007 Semi-Supervised Multitask Learning Qiuhua Liu, Xuejun Liao, Lawrence Carin

AAAI 2006 Incremental Least Squares Policy Iteration for POMDPs Hui Li, Xuejun Liao, Lawrence Carin

ICML 2006 Region-Based Value Iteration for Partially Observable Markov Decision Processes Hui Li, Xuejun Liao, Lawrence Carin

ICML 2005 Incomplete-Data Classification Using Logistic Regression David Williams, Xuejun Liao, Ya Xue, Lawrence Carin

ICML 2005 Logistic Regression with an Auxiliary Data Source Xuejun Liao, Ya Xue, Lawrence Carin

NeurIPS 2005 Radial Basis Function Network for Multi-Task Learning Xuejun Liao, Lawrence Carin