Fyodor Noskov
- Junior Research Fellow:Faculty of Computer Science / AI and Digital Science Institute / International Laboratory of Stochastic Algorithms and High-Dimensional Inference
- Lecturer:Faculty of Computer Science / Big Data and Information Retrieval School
- Fyodor Noskov has been at HSE University since 2021.
Education
2021
Bachelor's in Applied Mathematics
Moscow Institute of Physics and Technology (National Research University)
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2024)
Courses (2023/2024)
- High Dimensional Probability and Statistics (Master’s programme; Faculty of Computer Science; 1 year, 3, 4 module)Eng
- Mathematical Statistics (advanced course) (Bachelor’s programme; Faculty of Computer Science; 2 year, 3, 4 module)Rus
- Mentor's Seminar "Math of Machine Learning " (Master’s programme; Faculty of Computer Science; 1 year, 1-4 module)Eng
20241
Chapter Plassier V., Kotelevskii N., Rubashevskii A., Noskov F., Velikanov M., Fishkov A., Horvath S., Takac M., Moulines E., Panov M. Efficient Conformal Prediction under Data Heterogeneity, in: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), 2-4 May 2024, Palau de Congressos, Valencia, Spain. PMLR: Volume 238 Vol. 238. Valencia : PMLR, 2024. P. 4879-4887.
20235
- Article Kupavskii A., Noskov F. Octopuses in the Boolean cube: Families with pairwise small intersections, part I // Journal of Combinatorial Theory. Series B. 2023. Vol. 163. P. 308-331. doi
- Preprint Kupavskii A., Noskov F. Octopuses in the Boolean cube: families with pairwise small intersections, part II / Cornell University. Series math "arxiv.org". 2023. doi
- Preprint Noskov F., Panov M. Optimal Estimation in Mixed-Membership Stochastic Block Models / Cornell University. Series arXiv "math". 2023. doi
- Chapter Fedor Noskov, Fishkov A., Panov M. Selective Nonparametric Regression via Testing, in: Proceedings of Machine Learning Research 222, 2023: Asian Conference on Machine Learning, 11-14 November 2023, İstanbul, Turkey. Volume 222:. PMLR, 2023. P. 1023- 1038.
- Preprint Puchkin N., Noskov F., Spokoiny V. Sharper dimension-free bounds on the Frobenius distance between sample covariance and its expectation / Cornell University. Series arXiv "math". 2023. doi
20221
Chapter Kotelevskii N., Artemenkov A., Fedyanin K., Fedor Noskov, Fishkov A., Shelmanov A., Vazhentsev A., Petiushko A., Panov M. Nonparametric Uncertainty Quantification for Single Deterministic Neural Network, in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022. Curran Associates, Inc., 2022. P. 36308-36323.