Machine Learning literature
Recommendations for tutorials, surveys and theses.Jul 5, 2020Last updated: Jul 23, 2023
Alse see Topics in Bayesian Machine Learning.
Tutorials
Surveys
- Bayesian Reinforcement Learning: A Survey - Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar
- Elements of Sequential Monte Carlo - Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön (2019)
- Monte Carlo Gradient Estimation in Machine Learning - Shakir Mohamed, Mihaela Rosca, Michael Figurnov, Andriy Mnih (2019)
- Normalizing Flows for Probabilistic Modeling and Inference - George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan (2019)
Theses
Talks