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← Authors

Xuejun Liao

14 papers · 2007–2017 · 6 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (10) 🌟 Keyword Trendsetter Combo (4) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (14) πŸš€ Conference Pioneer πŸ’Ž Century Club (14) πŸ—ƒοΈ Keyword Collector (78) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (5)

Conferences

NIPS (6) JMLR (3) IJCAI (2) AISTATS (1) CVPR (1) ICML (1)

Top co-authors

Lawrence Carin (14) Qinliang Su (2) Shaobo Han (2) Miao Liu (2) Jianbo Yang (2) Hui Li (1) Christopher Amato (1) Minhua Chen (1) David B. Dunson (1) Ya Xue (1)

Keywords

variational inference (4) dirichlet process (3) bayesian inference (3) multi-task learning (3) probabilistic modeling (2) compressive sensing (2) hierarchical model (2) truncated gaussian (2) markov chain monte carlo (2) partially observable environment (2) supervised learning (1) manifold regularization (1) logistic regression (1) expectation maximization (1) reinforcement learning (1) group sparsity (1) multitask learning (1) policy learning (1) depth estimation (1) manifold learning (1)

Papers

A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NIPS 2017 Nonlinear Statistical Learning with Truncated Gaussian Graphical Models ICML 2016 Linear Feature Encoding for Reinforcement Learning NIPS 2016 Variational Gaussian Copula Inference AISTATS 2016 Stick-Breaking Policy Learning in Dec-POMDPs IJCAI 2015 Low-Cost Compressive Sensing for Color Video and Depth CVPR 2014 Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NIPS 2014 Online Expectation Maximization for Reinforcement Learning in POMDPs IJCAI 2013 Integrated Non-Factorized Variational Inference NIPS 2013 Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010 Learning to Explore and Exploit in POMDPs NIPS 2009 Multi-task Reinforcement Learning in Partially Observable Stochastic Environments JMLR 2009 Multi-Task Learning for Classification with Dirichlet Process Priors JMLR 2007 Semi-Supervised Multitask Learning NIPS 2007