Xuejun Liao
14 papers · 2007–2017 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(4)
π€
Dynamic Duo
(14)
π§
Keyword Pioneer
π
Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(81)
π₯
Unstoppable Β· Bronze
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Trend Setter
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(7)
Bayesian & Probabilistic Β· Machine Learning
(6)
Core Methods
(5)
Optimization & Theory
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Learning Types
(4)
Mathematics & Optimization
(3)
Reinforcement Learning
(3)
Methods
(3)
Computer Vision
(2)
Deep Learning
(2)
Learning Paradigms
(2)
Optimization
(2)
Analysis
(1)
Keywords
variational inference
(4)
dirichlet process
(3)
multi-task learning
(3)
bayesian inference
(3)
compressive sensing
(2)
markov chain monte carlo
(2)
truncated gaussian
(2)
probabilistic modeling
(2)
partially observable environment
(2)
hierarchical model
(2)
nonparametric bayesian
(1)
logistic regression
(1)
manifold regularization
(1)
supervised learning
(1)
reinforcement learning
(1)
group sparsity
(1)
policy learning
(1)
manifold learning
(1)
depth estimation
(1)
expectation maximization
(1)
Papers
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks
NeurIPS 2017
Linear Feature Encoding for Reinforcement Learning
NeurIPS 2016
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models
ICML 2016
Variational Gaussian Copula Inference
AISTATS 2016
Stick-Breaking Policy Learning in Dec-POMDPs
IJCAI 2015
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices
NeurIPS 2014
Low-Cost Compressive Sensing for Color Video and Depth
CVPR 2014
Integrated Non-Factorized Variational Inference
NeurIPS 2013
Online Expectation Maximization for Reinforcement Learning in POMDPs
IJCAI 2013
Classification with Incomplete Data Using Dirichlet Process Priors
JMLR 2010
Learning to Explore and Exploit in POMDPs
NeurIPS 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
NeurIPS 2007