Research & Expertise

On February 23 and 24, the Institute for Information Transmission Problems of the Russian Academy of Sciences hosted the first international mini-conference entitled ‘New frontiers in high-dimensional probability and statistics’. The event was attended by Russian and international researchers in the field of statistical methods of analysis of multidimensional data and modern stochastic algorithms. The conference was hosted by HSE, the Institute for Information Transmission Problems of the RAS and Skoltech. Organisers included HSE Faculty of Computer Science staff, Vladimir Spokoiny, Alexey Naumov, Denis Belomestny and Quentin Paris.

Researchers from the HSE Laboratory of Theoretical Computer Science have won a competition organized by the Russian Foundation for Basic Research (RFBR) and the Royal Society of London for Improving Natural Knowledge.

Faculty of Computer Science of the Higher School of Economics in Moscow, Russia invites applications for full-time, tenure-track positions of Assistant Professor in all areas of computer science including but not limited to programming language theory, software engineering, system programming, algorithms, distributed and parallel computation, bioinformatics, artificial intelligence, and machine learning. Knowledge of Russian is not required, as teaching and research are both conducted in English.

On September 12 and 13, a mini-workshop "Stochastic processes and probabilistic models in machine learning" was held at the faculty. Four invited foreign specialists gave lectures about the application of parametric and nonparametric probabilistic methods in machine learning, and representatives of Russian scientific groups told about particular projects where these approaches are used.

On August 6-11 the 34th International Conference on Machine Learning was held in Sydney, Australia. This conference is ranked A* by CORE, and is one of two leading conferences in the field of machine learning. It has been held annually since 2000, and this year, more than 1,000 participants from different countries took part.

The 6th International Conference on Analysis of Images, Social Networks and Texts was held on July 27-29 in Moscow with the support of the Higher School of Economics. This year 130 papers from different universities, including many international ones, were submitted for the conference. The best works were selected by renowned experts in data analysis from all over the world; these papers will be included in the conference proceedings and published in the series ‘Lecture Notes in Computer Science’ issued by Springer.

A team of researchers from the HSE Laboratory of Methods for Big Data Analysis (LAMBDA) has won a contest held by the Presidential Research Funding Programme. Researchers with the laboratory are developing a system of algorithms that will help physicists look for new particles in the Large Hadron Collider.

On June 14 the workshop ‘Complexity of Computation, Communication, Descriptions, and Proofs’, organized by the Laboratory of Theoretical Computer Science, was held at HSE Faculty of Computer Sciences. The conference was organized as part of the major international conference ‘Computer Science in Russia’.

On June 9, a summit was held on computer vision and deep learning ‘Machines can see’, organized by Sistema VC, Visionlabs, and the Strelka Institute. Dmitry Vetrov and Anton Konushin, staff members of HSE Faculty of Computer Science, were among the organizers of and speakers at the conference.

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.