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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI), PMLR Volume 337: Conference on Uncertainty in Artificial Intelligence, 17-21 August 2026, KIT, Amsterdam, the Netherlands

Vol. 337. MLResearchPress, 2026.
Under the general editorship: E. Perković, D. Malinsky
Chapters
Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation
Levin I., Shuklin M., Moulines E. et al., , in: Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI), PMLR Volume 337: Conference on Uncertainty in Artificial Intelligence, 17-21 August 2026, KIT, Amsterdam, the NetherlandsVol. 337.: MLResearchPress, 2026. Ch. 134 P. 3487–3545.
In this paper, we establish Berry-Esseen-type bounds for federated linear stochastic approximation (LSA). Our results provide the first federated {Gaussian} approximations for LSA that explicitly capture communication-computation trade-offs and heterogeneity-aware error terms, quantifying the effects of local step size, number of local updates, and heterogeneity on convergence rates. We present results for both (i) constant ...
Added: September 4, 2026
Approximation Rates for Schrödinger Bridge Potentials via Fixed-Point ERM
Belomestny D., Naumov A., Puchkin N. et al., , in: Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI), PMLR Volume 337: Conference on Uncertainty in Artificial Intelligence, 17-21 August 2026, KIT, Amsterdam, the NetherlandsVol. 337.: MLResearchPress, 2026. Ch. 337 P. 521–548.
The Schrödinger bridge problem (SBP) provides a principled interpolation between two distributions by selecting, among all path measures matching given endpoint marginals, the one closest in relative entropy to a reference dynamics. In modern applications the marginals are observed only through samples, and standard computational pipelines solve a discretized SBP via {Sinkhorn} iterations and then ...
Added: September 9, 2026
Research target: Computer Science
Language: English
Text on another site
Keywords: machine learning techniques
Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI), PMLR Volume 337: Conference on Uncertainty in Artificial Intelligence, 17-21 August 2026, KIT, Amsterdam, the Netherlands
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