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ORCID: 0000-0002-6907-0635
ResearcherID: O-9686-2016
Scopus AuthorID: 56462166000
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D. Vetrov
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Alexander Novikov

  • Alexander Novikov has been at HSE since 2015.


Conducting research in the area of tensor neural networks, convolutional networks acelerating and K-FAC optimization.



Diploma in Applied math and computer science
Lomonosov Moscow State University, computational mathematics and cybernetics

Continuing education / Professional retraining / Internships / Study abroad experience

Google USA, Mountain View, CA July 2014 — October 2014

Software Engineering Intern

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2017)


Employment history

Skolkovo Institute of Science and Technology, Junior Research Scientist, October 2014 — September 2015


HSE and Yandex launched a new English specialization on Coursera: Advanced Machine Learning

In this specialization the listeners will complete the courses on deep learning, Bayesian methods, reinforcement learning, natural language processing etc. Alexander Novikov, research fellow of the laboratory, is a lecturer of Bayesian Methods course.

'Machine Learning Algorithm Able to Find Data Patterns a Human Could Not'

In December 2016, five new international laboratories opened up at the Higher School of Economics, one of which was the International Laboratory of Deep Learning and Bayesian Methods. This lab focuses on combined neural Bayesian models that bring together two of the most successful paradigms in modern-day machine learning – the neural network paradigm and the Bayesian paradigm.