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| Combettes, Patrick L. "The foundations of set theoretic estimation." Proceedings of the IEEE 81, no. 2 (1993): 182-208. |
| I. Yamada, M. Yukawa, and M. Yamagishi, Minimizing the Moreau envelope of nonsmooth convex functions over the fixed point set of certain quasi-nonexpansive mappings, IN: Fixed-Point Algorithms for Inverse Problems in Science and Engineering, H. Bauschke, R. Burachick, P. L.Combettes, V. Elser, D. R. Luke, and H. Wolkowicz, Eds. SpringerVerlag, 2011 (in the future, we will be also using a book currently being written by the same authors) |
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| Theodoridis, Sergios, Konstantinos Slavakis, and Isao Yamada. "Adaptive learning in a world of projections." Signal Processing Magazine, IEEE 28.1 (2011): 97-123. |
| M. Mohri, A. Rostamizadeh, A. Talwalker. “Foundations of Machine Learning”, MIT Press, 2018 |
| R. Vershynin, “High-Dimensional Probability: An Introduction with Applications in Data Science”, Cambridge University Press, 2018 |
| M. Wainwright, “High-Dimensional Statistics: A Non-Asymptotic Viewpoint”, Cambridge University Press, 2019 |
| S. Shalev-Schwartz, S. Ben-David, ”Understanding Machine Learning: From Theory to Algorithms”, Cambridge University Press, 2014 |
