We invite to attend our prospective events:
- Conference Fall into ML 2025, October 24-25, 2025, Moscow, Russia
Past events
- Conference Fall into ML 2024, October 25-26, 2024, Moscow, Russia
- School "Spring into ML 2024", February 6-11 2024, Innopolis, Russia
- Conference and School Fall into ML 2023, October 26-28, 2023 Moscow, Russia
- School "Mathematics of Machine Learning" - 2023, February 7-12 2023, Priozersk, Russia
- Сonference and Autumn School Fall into ML 2022, November 1-3, 2022, Moscow, Russia
- Summer school Learning, understanding and optimization in artificial intelligence models, June 20–26, 2022, Pushki
- Сonference SAMPLE, October 26 - 30, 2021, Gelendzhik
- Conference "Optimization without borders", July 12-18, 2021, Sochi
- Conference "New Frontiers in High-Dimensional Probability and Applications to Machine Learning", May 12-16, 2021, Sochi
- Summer school "Modern methods of information theory, control and optimization", 2-23 August 2020, Sochi
- Winter school Math of Machine Learning 2020, February 19-22, 2020, Sochi, Sirius University of Science and Technology
- Conference "Foundations of Modern Statistics (Moscow edition)" on the occasion of Vladimir Spokoiny's 60th birthday, November 30, 2019
- HSE-Yandex autumn school on generative models, November 26-29, 2019
- Workshop “Recent advances in mass transportation, 23-27 September 2019
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This is the second joint Moscow-Paris workshop and summer-school organized by the International Laboratory of Stochastic Algorithms and High Dimensional Inference (HDI Lab). It continues the series of annual joint meetings of researchers working on modern aspects of high-dimensional probability and statistics as well as their fruitful applications.
- Winter School “New frontiers in high-dimensional probability and statistics 2”, 22-23 February 2019
- Mini-course by Steve Oudot (Ecole Polytechnique, INRIA) "Statistics and learning with topological descriptors", September 10, 2018
- Conference "Structural Inference in High-Dimensional Models", September 5-8, 2018
This is the first joint Moscow-Paris workshop to celebrate the creation of the International Laboratory of Stochastic Algorithms and High Dimensional Inference at the National Research University Higher School of Economics. It starts the series of annual joint meetings of researchers from France and Russia, working on modern aspects of high-dimensional probability, statistics and their applications, including stochastic algorithms, efficient dimension reduction, community detection in large networks, optimal transport, random matrices, concentration of measure phenomena, stochastic geometry, and inference for stochastic processes.
- Mini-course by Sergey Bobkov (University of Minnesota, HSE) “Strong probability distances and limit theorems”, May 17 and 24, 2018
- Mini-course by Quentin Paris (HSE) “High-Dimensional Statistical Methods”, April 5 - May 24, 2018
- Special events for bachelor students “Statistical Learning Theory Days”, March 15, 22, April 12, 14, 2018
- Mini-course by Yury Nesterov (Université Catholique de Louvain, Belgium) “Modern Algorithmic Optimization”, April 2-13, 2018
- Workshop “New frontiers in high-dimensional probability and statistics”, February 23-24, 2018
- Mini-course by Thibaut Le Gouic (Ecole Centrale de Marseille, Marseille) “Metric Geometry and Optimal Transport”, February 7 and 14, 2018
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