Konstantin Vorontsov
@konstantin_vorontsov
Machine learning, topic modelling; MSU CMC, MIPT, FRC CSC RAS
1 follower104 works
Higher education (specialist degree), MIPT
Postgraduate study, Computing Centre of the RAS
Candidate of Sciences — «Local bases in the algebraic approach to the recognition problem», Computing Centre of the RAS
Doctor of Physical and Mathematical Sciences — «The combinatorial theory of reliability of learning from examples», Computing Centre of the RAS
Professor, Head of the Department of Mathematical Methods of Forecasting, MSU CMC, Moscow
Head of the Laboratory «Machine Learning and Semantic Analysis», MSU Institute for Artificial Intelligence, Moscow
Head of the Department of Machine Learning and Digital Humanities, MIPT, Dolgoprudny
Associate Professor, Deputy Head (until 2013), Professor (since 2013), Head (since 2022), Department of Intelligent Systems, MIPT, FUPM, Dolgoprudny
Research Scientist, Senior Research Scientist, Chief Research Scientist, Отдел «Интеллектуальные системы», Dorodnicyn Computing Centre, FRC CSC RAS, Moscow
Head of the Machine Intelligence Laboratory, MIPT
Professor, HSE University
Associate Professor, Department of Mathematical Methods of Forecasting, MSU CMC
Lecturer, Yandex School of Data Analysis
Expert, Development Department, Yandex
Machine Learning — year-long course, MIPT, MSU CMC, Yandex School of Data Analysis
Applied Statistical Data Analysis — one-semester course, MSU CMC, MIPT
Probabilistic Topic Models — one-semester course, MIPT, MSU CMC
Mathematical Methods of Text Analysis — one-semester course, MIPT, MSU CMC
Introduction to Machine Learning — one-semester course, Department of Intelligent Systems, MIPT
Honorary title of Professor of the RAS, Russian Academy of Sciences
RAS Medal with a prize for young scientists, Russian Academy of Sciences
RAS jubilee medal «300 Years of the Russian Academy of Sciences», Russian Academy of Sciences
Yandex ML Prize, «Hall of Fame» nomination, Yandex
Member of the Russian Association for Artificial Intelligence, RAAI
Building a theory of the quality of recognizing algorithmic superpositions and developing methods for tuning them, RFBR
Developing a technology and a prototype system for analysing and visualizing client environments, RFBR
A series of sales forecasting systems based on the algebraic technology of synthesizing correct algorithms, RFBR
The combinatorial theory of the quality of learning from examples and new classification and forecasting algorithms based on it, RFBR
A system and technology for analysing metric information obtained in experimental fundamental research, RFBR
A technology for categorizing Internet documents by jointly analysing content and traffic data, RFBR
New information technologies based on the combinatorial theory of empirical predictions, RFBR
The combinatorial theory of the reliability of empirical predictions and its applications in econometrics, text analysis and bioinformatics, RFBR
Methods for analysing and forecasting non-stationary time series in monitoring the technical condition of rolling stock, RFBR
The combinatorial theory of overfitting and its applications, RFBR
Editorial board member, the journal «Programming and Computer Software»
Editorial board member, the journal «Automation and Remote Control»
Editorial board member, the journal «Artificial Intelligence and Decision Making»
Editorial board member, the journal «Taurida Journal of Computer Science Theory and Mathematics»