Qi, Yuan "Alan" - Departments of Computer Sciences & Statistics, Purdue University

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Qi, Yuan "Alan" - Departments of Computer Sciences & Statistics, Purdue University

Sparse-posterior Gaussian Processes for general likelihoods Yuan (Alan) Qi
Sparse Matrix-variate t Process Blockmodels
Nonparametric Bayesian Matrix Factorization by Power-EP Yuan (Alan) Qi Rongjing Xiang+
Diagram Structure Recognition by Bayesian Conditional Random Fields 32 Vassar Street
Questions and answers about philosophy of science, causation, and human/machine learning
HYBRID INDEPENDENT COMPONENT ANALYSIS AND SUPPORT VECTOR MACHINE LEARNING SCHEME FOR FACE DETECTION
Sparse matrix-variate Gaussian process blockmodels for network Computer Science Dept.
Sparse Gaussian Process Regression via 1 Penalization Feng Yan yan12@purdue.edu
Parameter Expanded Variational Bayesian Methods Yuan (Alan) Qi
Sparse Matrix-variate t Process Blockmodels Dept. of Computer Science
Virtual Vector Machine for Bayesian Online Classification Thomas P. Minka
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 1, JANUARY 2007 1 Window-Based Expectation Propagation for
Approximate Expectation Propagation for Bayesian Inference on Large-scale Problems
Extending Expectation Propagation for Graphical Models The MIT Media Laboratory
Questions and answers about philosophy of science, causation, and human/machine learning
Sparse-posterior Gaussian Processes for general likelihoods Yuan (Alan) Qi
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
t-divergence Based Approximate Inference , S.V. N. Vishwanathan1,2
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning