Jiaxin Shi
Jiaxin Shi
Postdoctoral Researcher, Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Functional variational Bayesian neural networks
S Sun, G Zhang, J Shi, R Grosse
International Conference on Learning Representations, 2019
1072019
Plenopatch: Patch-based plenoptic image manipulation
FL Zhang, J Wang, E Shechtman, ZY Zhou, JX Shi, SM Hu
IEEE transactions on visualization and computer graphics 23 (5), 1561-1573, 2016
632016
Sliced score matching: A scalable approach to density and score estimation
Y Song, S Garg, J Shi, S Ermon
Uncertainty in Artificial Intelligence, 574-584, 2020
462020
A spectral approach to gradient estimation for implicit distributions
J Shi, S Sun, J Zhu
International Conference on Machine Learning, 4644-4653, 2018
442018
Message passing Stein variational gradient descent
J Zhuo, C Liu, J Shi, J Zhu, N Chen, B Zhang
International Conference on Machine Learning, 6018-6027, 2018
362018
Kernel implicit variational inference
J Shi, S Sun, J Zhu
International Conference on Learning Representations, 2017
362017
Zhusuan: A library for Bayesian deep learning
J Shi, J Chen, J Zhu, S Sun, Y Luo, Y Gu, Y Zhou
arXiv preprint arXiv:1709.05870, 2017
322017
Sparse orthogonal variational inference for Gaussian processes
J Shi, M Titsias, A Mnih
International Conference on Artificial Intelligence and Statistics, 1932-1942, 2020
152020
Scalable training of inference networks for Gaussian-process models
J Shi, ME Khan, J Zhu
International Conference on Machine Learning, 5758-5768, 2019
102019
Semi-crowdsourced clustering with deep generative models
Y Luo, T Tian, J Shi, J Zhu, B Zhang
Advances in Neural Information Processing Systems, 2018
102018
Nonparametric score estimators
Y Zhou, J Shi, J Zhu
International Conference on Machine Learning, 11513-11522, 2020
32020
Neural Networks as Inter-Domain Inducing Points
S Sun, J Shi, RB Grosse
Third Symposium on Advances in Approximate Bayesian Inference, 2020
12020
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
S Sun, J Shi, AG Wilson, R Grosse
arXiv preprint arXiv:2106.05992, 2021
2021
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