Understanding uncertainty modeling (including Bayesian deep learning and deep Gaussian process)

理解不确定性对于数据建模的必要性：

https://arxiv.org/abs/2011.06225
2020综述论文《深度学习不确定性量化：技术、应用与挑战》

https://oatml.cs.ox.ac.uk/publications.html
OXFORD APPLIED AND THEORETICAL MACHINE LEARNING GROUP (Yarin GAL)

https://github.com/google/uncertainty-baselines
Uncertainy Baselines (Yarin GAL)

http://inverseprobability.com/2015/02/28/questions-on-deep-gaussian-processes
Questions on deep Gaussian processes (and also uncertainty) (Neil Lawrence)

https://github.com/team-approx-bayes/dl-with-bayes
Practical Deep Learning with Bayesian Principles (NeurIPS2019)

https://cloud.tencent.com/developer/article/1092681
Deep Probabilistic Modelling with Gaussian Processes（Neil Lawrence，NIPS2017）

https://arxiv.org/abs/1808.05587
Deep Convolutional Networks as shallow Gaussian Processes (2018)

http://proceedings.mlr.press/v108/trapp20a/trapp20a.pdf
Deep Structured Mixtures of Gaussian Processes (AISTATS2020)

https://bmi.inf.ethz.ch/people/person/vincent-fortuin/
On the interface between deep learning and probabilistic modeling (GP-VAE)

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Understanding uncertainty modeling (including Bayesian deep learning and deep Gaussian process)

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