Around power law for PageRank components in Buckley-Osthus model of web graph. - Alexander V. Gasnikov; Maksim Zhukovskii; Sergey Kim; Fedor Noskov; Stepan Plaunov; Daniil Smirnov (CoRR, 2017)

Nonparametric Uncertainty Quantification for Single Deterministic Neural Network. - Nikita Kotelevskii; Aleksandr Artemenkov; Kirill Fedyanin; Fedor Noskov; Alexander Fishkov; Artem Shelmanov; Artem Vazhentsev; Aleksandr Petiushko; Maxim Panov (NeurIPS, 2022)

NUQ: Nonparametric Uncertainty Quantification for Deterministic Neural Networks. - Nikita Kotelevskii; Aleksandr Artemenkov; Kirill Fedyanin; Fedor Noskov; Alexander Fishkov; Aleksandr Petiushko; Maxim Panov (CoRR, 2022)

Selective Nonparametric Regression via Testing. - Fedor Noskov; Alexander Fishkov; Maxim Panov (ACML, 2023)

Optimal Estimation in Mixed-Membership Stochastic Block Models. - Fedor Noskov; Maxim Panov (CoRR, 2023)

Octopuses in the Boolean cube: Families with pairwise small intersections, part I. - Andrey Kupavskii; Fedor Noskov (J. Comb. Theory B, 2023)

Efficient Conformal Prediction under Data Heterogeneity. - Vincent Plassier; Nikita Kotelevskii; Aleksandr Rubashevskii; Fedor Noskov; Maksim Velikanov; Alexander Fishkov; Samuel Horváth; Martin Takác 001; Eric Moulines; Maxim Panov (AISTATS, 2024)

Octopuses in the Boolean cube: Families with pairwise small intersections, part II. - Andrey Kupavskii; Fedor Noskov (Discret. Math., 2025)

Dimension-free bounds in high-dimensional linear regression via error-in-operator approach. - Fedor Noskov; Nikita Puchkin; Vladimir G. Spokoiny (CoRR, 2025)

Low-Rank Graphon Estimation: Theory and Applications to Graphon Games. - Olga Klopp; Fedor Noskov (CoRR, 2025)