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Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?


Nov 06, 2020
Chaoqi Wang, Shengyang Sun, Roger Grosse


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Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes


Aug 20, 2019
Jun Yang, Shengyang Sun, Daniel M. Roy

* 18 pages 

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Functional Variational Bayesian Neural Networks


Mar 14, 2019
Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger Grosse

* ICLR 2019 

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Differentiable Compositional Kernel Learning for Gaussian Processes


Aug 05, 2018
Shengyang Sun, Guodong Zhang, Chaoqi Wang, Wenyuan Zeng, Jiaman Li, Roger Grosse

* ICML 2018; update proof 

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Aggregated Momentum: Stability Through Passive Damping


Jul 23, 2018
James Lucas, Shengyang Sun, Richard Zemel, Roger Grosse

* 10 primary pages, 11 supplementary pages, 10 figures total 

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A Spectral Approach to Gradient Estimation for Implicit Distributions


Jun 07, 2018
Jiaxin Shi, Shengyang Sun, Jun Zhu

* To appear at ICML 2018 

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Noisy Natural Gradient as Variational Inference


Feb 26, 2018
Guodong Zhang, Shengyang Sun, David Duvenaud, Roger Grosse


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Kernel Implicit Variational Inference


Feb 23, 2018
Jiaxin Shi, Shengyang Sun, Jun Zhu

* Published as a conference paper at ICLR 2018 

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ZhuSuan: A Library for Bayesian Deep Learning


Sep 18, 2017
Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou

* The GitHub page is at https://github.com/thu-ml/zhusuan 

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