Math, Machine Learning & AI
Machine Learning
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Math & AI of Cat.IA - AI.Innovations
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Additional References
- The Artificial Intelligence and Machine Learning research group at Princeton University. See also Sanjeev Arora's ICM 2018 plenary lecture on The mathematics of machine learning and deep learning.
- Both April and July 2024 issues of the Bulletin of the American Mathematical Society contain a collection of papers on Math and AI.
- Besides, the Notices of the AMS have published more pedagogical papers on the mathematical foundations of Machine Learning:
- Machine Learning and Invariant Theory (2023), vol 70, 1205-13,
- Mathematizing Human Perception (2023), vol 70, 1081-88,
- Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning (2022), vol 69, 1717-29,
- Model Selection for Optimal Prediction in Statistical Machine Learning (2020), vol 67, 155-168,
- Machine Learning: Mathematical Theory and Scientific Applications (2019), vol 66, 1813-20,
- From Decoupling and Self-Normalization to Machine Learning (2019), vol 66, 1641-46,
- The Spring 2020 & 2021 lectures on deep learning by Yann LeCun at the NYU Center for Data Science.
- The lectures on data science by Stéphane Mallat at the Collège de France.
