1. Alvarez, J. M., & Salzmann, M. (2016). Learning the Number of Neurons in Deep Networks. In Proceedings of the 30th Advances in neural information processing systems. Barcelona, Spain.
2. Bai, J., Song, Q., & Cheng, G. (2020). Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee. In Proceedings of the 34th Advances in neural information processing systems (pp. 466–476). Vancouver, Canada.
3. Statistical foundation of Variational Bayes neural networks;Bhattacharya;Neural Networks,2021
4. Variational inference: A review for statisticians;Blei;Journal of the American Statistical Association,2017
5. A correlated topic model of science;Blei;The Annals of Applied Statistics,2007