Machine Learning literature
Jul 5, 2020Last updated: Dec 28, 2022
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)
- Generalized Variational Inference: Three arguments for deriving new Posteriors - Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas (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)
- Computing Bayes: Bayesian Computation from 1763 to the 21st Century - Gael M. Martin, David T. Frazier, Christian P. Robert (2020)
Theses
Talks
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