Course bibliography

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Readings

Compiled automatically from required and additional readings in the course schedule.

1. Blei, Kucukelbir, and McAuliffe. “Variational Inference: A Review for Statisticians.” Journal of the American Statistical Association 112(518): 859–877 (2017).Additional reading · Week 1
2. Cranmer, Brehmer, and Louppe. “The frontier of simulation-based inference.” Proceedings of the National Academy of Sciences 117(48): 30055–30062 (2020).Required reading · Week 2
3. Gelman, Carlin, Stern, Dunson, Vehtari, and Rubin. Bayesian Data Analysis. 3rd ed. Chapman & Hall/CRC Press, 2013. Chapters 11–12, pp. 275–310.Additional reading · Week 1
4. Ghahramani. “Probabilistic machine learning and artificial intelligence.” Nature 521(7553): 452–459 (2015).Additional reading · Week 1
5. Hennig, Osborne, and Girolami. “Probabilistic numerics and uncertainty in computations.” Proceedings of the Royal Society A 471(2179): 20150142 (2015).Additional reading · Week 1
6. Kingma and Welling. “An Introduction to Variational Autoencoders.” Foundations and Trends in Machine Learning 12(4): 307–392 (2019).Required reading · Week 2
7. Kucukelbir, Tran, Ranganath, Gelman, and Blei. “Automatic Differentiation Variational Inference.” Journal of Machine Learning Research 18(14): 1–45 (2017).Additional reading · Week 2
8. MacKay. Information Theory, Inference, and Learning Algorithms. Cambridge University Press, 2003. Chapters 29, 30, and 33, pp. 357–399 and 422–436.Additional reading · Week 1
9. Mohamed, Rosca, Figurnov, and Mnih. “Monte Carlo Gradient Estimation in Machine Learning.” Journal of Machine Learning Research 21(132): 1–62 (2020).Required reading · Week 2
10. Papamakarios and Murray. “Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation.” Advances in Neural Information Processing Systems 29 (2016).Additional reading · Week 2
11. Ranganath, Gerrish, and Blei. “Black Box Variational Inference.” Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics 33: 814–822 (2014).Additional reading · Week 2
12. Wang et al. “Scientific discovery in the age of artificial intelligence.” Nature 620: 47–60 (2023).Additional reading · Week 1