Publications

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Shaobo Han, David B. Dunson. Supervised Coarse-Graining of Composite Objects. In ArXiv, 2019.

Shaobo Han, David B. Dunson. Multiresolution Tensor Decomposition for Multiple Spatial Passing Networks. In ArXiv, 2018.

Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin. VAE Learning via Stein Variational Gradient Descent. In NIPS, 2017.

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

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Yan Kaganovsky, Shaobo Han, Soysal Degirmenci, David G. Politte, David J. Brady, Joseph A. O’Sullivan, Lawrence Carin. Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise. In SIIMS, 2015.

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Yan Kaganovsky, Soysal Degirmenci, Shaobo Han, Ikenna Odinaka, David G. Politte, David J. Brady, Joseph A. O’Sullivan, Lawrence Carin. Alternating Minimization Algorithm with Iteratively Reweighted Quadratic Penalties for Compressive Transmission Tomography. In SPIE Medical Imaging Conference, 2015.

Shaobo Han, Lin Du, Esther Salazar, Lawrence Carin. Dynamic Rank Factor Model for Text Streams. In NIPS, 2014.

Preprint PDF Poster

HyungJu Jeon, Yan Kaganovsky, Shaobo Han, Lawrence Carin. GPU-Based Sparse Bayesian Learning for Adaptive Tomographic Imaging. In NSS/MIC, 2014.

Xin Yuan, Vinayak Rao, Shaobo Han, Lawrence Carin. Hierarchical Infinite Divisibility for Multiscale Shrinkage. In IEEE-TSP, 2014.

Shaobo Han, Xuejun Liao, Lawrence Carin. Integrated Non-Factorized Variational Inference. In NIPS, 2013.

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

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