Books
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Machine Learning: The Basics
In RussianСергей Николенко
Питер, 2025
The foundations of machine learning, from Bayes’ theorem to generalized linear models.
Sergey Nikolenko
Springer, 2021
A deep dive into synthetic data for deep learning, including an intro to neural networks, chapters on domain adaptation and GANs, intro to differential privacy and much more.
Foundations of Bayesian Network Theory
In RussianАлександр Тулупьев, Сергей Николенко, Александр Сироткин
СПбГУ, 2019
Textbook introducing Bayesian belief networks and reasoning under uncertainty.
Deep Learning
In RussianСергей Николенко, Артур Кадурин, Екатерина Архангельская
Питер, 2017
Neural networks from first principles to the deep-learning methods of 2017.
Sergey Nikolenko
Lambert Academic Publishing, 2011
What can we prove to be secure in cryptography? Not much, but it turns out there is something.
Mechanism Design Theory
In RussianСергей Николенко
Интуит, 2009
Introductory exposition of auctions theory and mechanism design.
Learning Systems
In RussianСергей Николенко, Александр Тулупьев
МЦНМО, 2009
An introduction to machine learning, including decision trees, neural networks and reinforcement learning.
Bayesian Belief Networks: A Logical and Probabilistic Approach in Directed Acyclic Graphs
In RussianАлександр Тулупьев, Александр Сироткин, Сергей Николенко
СПбГУ, 2009
Probabilistic semantics, inference and learning in Bayesian belief networks.
Bayesian Networks: A Logical and Probabilistic Approach
In RussianАлександр Тулупьев, Сергей Николенко, Александр Сироткин
Наука, 2006
The foundations of probabilistic inference, Bayesian belief networks and algebraic Bayesian networks.