Master’s Programme 'Statistical Learning Theory'

International admissions for HSE’s Bachelor’s and Master’s programmes are now open. This year, HSE is inviting applications for 52 Bachelor’s and 166 Master’s programmes across its four campuses. A number of programmes are taught in English and offer double-degree opportunities. International students can apply online. Early applications may be eligible for scholarships and tuition fee waivers.

The HSE Faculty of Computer Science has launched the International Laboratory of Stochastic Algorithms and High-Dimensional Inference (HDI Lab). The Lab’s Academic Supervisor,Eric Moulines, and Chief Research Fellow, Vladimir Spokoiny, spoke to us about the fundamental and applied aspects of research performed by the laboratory, their relations with machine learning, and Russian-French academic ties.

The second Summer School on Deep Learning and Bayesian Methods was held in Moscow from August 27 to September 1, this year in English. During 6 days participants were studying and implementing Bayesian methods in neural networks, exchanging their experience and discussing research ideas.

Electives are open to HSE students as well as students of other Moscow universities and people who have a general interest in the subject.

The HSE Business Incubator is announcing the start of a student business project competition called the HSE{Business}Cup-2018, organised with the support of the corporate accelerator MTS StartUp Hub. The students with the best ideas will receive up to 200,000 rubles to make their projects a reality. The teams can also count on additional funds from MTS – a stipend and business grant worth 150,000 rubles.

Attracted by the famous mathematical education in Russia, Alfredo Alejandro De la Fuente Briceño decided to travel halfway around the world to enrol in HSE’s Master’s Programme in Statistical Learning Theory, a new joint programme between HSE and Skoltech aimed at training the next generation of scientists to carry out fundamental research and work on challenging new problems in statistical learning theory. After completing his Bachelor’s degree in Petroleum and Natural Gas Engineering at the National University of Engineering in Lima, Peru, the 25-year-old was encouraged by several professors and friends to try a programme in a different language and tradition and step outside his comfort zone.

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.

Samsung-HSE Laboratory will develop mechanisms of Bayesian inference in modern neural networks, which will solve a number of problems in deep learning. The laboratory team will be made up of the members of the Bayesian Methods Research Group — one of the strongest scientific groups in Russia in the field of machine learning and Bayesian inference. It will be headed by a professor of the Higher School of Economics Dmitry Vetrov.