Postdoc(s):
2025.01-2025.05:
Probability and Statistics of Discrete Structures program
at
Simons Laufer Mathematical Sciences Institute
(SLMath, MSRI), Berkeley, USA
2024.10-2024.12: working with
Brendan McKay
at the
School of Computing
in
Australian National University,
Canberra, Australia.
2023.10-2025.10: working with
Gabor Lugosi
at the
Statistics Group
in the
Barcelona School of Economics,
Universitat Pompeu Fabra, Barcelona, Spain.
Authors of mathematical writings are alphabetically ordered (the rest are as the 1st author).
(9) Multivariate size-bias coupling and Poisson approximation of subgraph counts in random graphs, with Eulalia Nualart. Submitted. [arXiv]
8. Correlation between residual entropy and spanning tree entropy of ice-type models on graphs, with Mikhail Isaev, Brendan McKay, accepted in Annales de l'Institut Henri Poincare D: Combinatorics, Physics and their Interactions. [arXiv]
7. Cumulant expansion for counting Eulerian orientations, with Mikhail Isaev, Brendan McKay. Journal of Combinatorial Theory, Series B 2025. DOI: 10.1016/j.jctb.2025.01.002 [arXiv] [Slides by Mikhail Isaev]
6. Extremal independence in discrete random systems, with Mikhail Isaev, Igor Rodionov, Maksim Zhukovskii. Annales de l'Institut Henri Poincare B: Probability and Statistics 2024. DOI: 10.1214/23-AIHP1402. [arXiv]
5. Generalization bounds for learning under graph-dependence: A survey, with Massih-Reza Amini. Machine Learning 2024. DOI: 10.1007/s10994-024-06536-9. [arXiv]
4. Asymptotic linearity of binomial random hypergraphs via cluster expansion under graph-dependence. Advances in Applied Mathematics 2022. DOI: 10.1016/j.aam.2022.102378. [arXiv]
3. When Janson meets McDiarmid: Bounded difference inequalities under graph-dependence. Statistics & Probability Letters 2022. DOI: 10.1016/j.spl.2021.109272. [arXiv]
2.
Extreme value theory for triangular arrays of dependent random variables,
with Mikhail Isaev,
Igor Rodionov,
Maksim Zhukovskii.
[Slides
by Igor Rodionov]
Russian Mathematical Surveys 2020.
DOI: 10.1070/rm9964.
Uspekhi Matematicheskikh Nauk, 2020.
DOI: 10.4213/rm9964.
1.
McDiarmid-type inequalities for graph-dependent variables and stability bounds,
with Xingwu Liu,
Yuyi Wang,
Liwei Wang.
Advances in Neural Information Processing Systems 32, 2019
(NeurIPS Spotlight,
164 out of 6,743 submissions: 2.43%)
[arXiv]
[PDF]
[URL]
[BibTeX]
[Slides].
0. Thesis: The probability of non-existence of small substructures via clusters and cumulants. [URL] DOI: 10.26180/24786498 [Examiners: Wojciech Samotij and Will Perkins].