On October 26 – 30, the students, graduates and professors of the Skoltech-HSE double degree MSc program, Math of Machine Learning, will meet in Gelendzhik in the south of Russia to discuss the latest advances in AI and ML at the SAMPLE Conference, where SAMPLE stands for Statistics, Artificial Intelligence, Machine Learning, Probability, and Learning Theory Event. The conference will feature a series of presentations by guest speakers and a science & career round table.
“Even though the Russian ML community is not very big, a large part of it will join the conference: we expect about a hundred students, graduates and professors to attend the event. All of us have missed face-to-face contacts so much during months of isolation,” Maxim Panov, an assistant professor at Skoltech and coordinator of the Math of Machine Learning program, notes.
The development and analysis of ML methods draws upon a blend of various disciplines at the crossroads of mathematics and computer science. One of the most dynamic areas of modern science, Mathematics of ML encompasses mathematical statistics, ML, optimization, linear algebra, information theory, and complexity theory.
“An idea to integrate Skoltech’s and HSE’s complementary competences in AI&ML within a joint program came up five years ago. Graduates regularly compete with other Skoltech and HSE graduates for the best diploma. After completing their MSc studies, they continue their research at leading companies, such as Yandex or DeepMind, or the world’s top postgraduate schools, including University of Cambridge, the École polytechnique fédérale de Lausanne (EPFL), the Université Paris-Saclay and others,” Panov adds.
Natalia Galochkina, head of Admissions and Selection Office at Skoltech, notes that the Skoltech-HSE program (Math of Machine Learning track within Skoltech’s Data Science MSc program) has already garnered an excellent reputation. “Its graduates are highly sought after by top universities across the world and global corporations, such as Facebook. Our program is highly selective, so we have been arranging joint Olympiads for four years to facilitate the selection of undergraduates and specialty students. The winners are entitled to skip the entrance test to get enrolled,” Galochkina says.
Aleksey Naumov, an associate professor at the HSE Computer Science Department, adds: “Our program is a perfect example of collaboration between two leading universities in AI. Recently, we have come up with an idea to hold a live conference for the program’s students, graduates, professors, and friends. That is how the SAMPLE conference came about. I hope every participant will have a chance to share their findings, discover new challenges and network with like-minded people for joint research.”
“I chose the HSE-Skoltech program on the advice of my research supervisor, Alexey Naumov,” Sergey Samsonov, a program graduate, says. “After I completed my undergraduate studies at MSU, I wanted both to carry on my research in classical statistics and delve into a new field of machine learning that I had a rather vague idea about at admission. Apart from the extensive knowledge I have gained here, the chance to communicate with interesting people, many of whom pursue their research careers in related areas, was another plus of the program. Thanks to those people, you quickly get an expert opinion on a new paper that appeared in the archive just yesterday. Also, you get an overall idea of applied tasks that researchers at Huawei, Yandex and other leading companies are trying to solve.”
Each day, the conference will start with presentations by leading scientists, including Skoltech professors Evgeny Burnaev and Ivan Oseledets, Skoltech and HSE professor Vladimir Spokoiny, and HSE professor Denis Belomestny. The program students and graduates will present their scientific results alongside researchers from Yandex, Huawei, MSU, and St. Petersburg State University.
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