Laboratory of Theoretical Computer Science

Publications

Book

Special Issue on Computer Science Symposium in Russia

Edited by: Ф. В. Фомин, V. V. Podolskii.

Vol. 64. Iss. 1. Springer, 2020.

Article

Generalization of Romanoff's Theorem

A. Radomskii.

Mathematical notes. 2023. Vol. 114. No. 5. P. 903-913.

Book chapter

Dimension-free Structured Covariance Estimation

Puchkin N., Rakhuba M.

In bk.: Proceedings of Machine Learning Research. Volume 247: The Thirty Seventh Annual Conference on Learning Theory, 30-3 July 2023, Edmonton, Canada. PMLR, 2024. P. 4276-4306.

Working paper

Two lower bounds for maximum matching

Kuyanov F.

math. arXiv. Cornell University, 2024

All publications

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!
To be used only for spelling or punctuation mistakes.

About the Laboratory

The Laboratory of Theoretical Computer Science was founded in December 2015. Structurally, it is a part of Big Data and Information Retrieval School at the Faculty of Computer Science.

The main research directions of the laboratory are computational complexity, algorithmic information theory, algorithmic statistics, combinatorial optimization, algorithmic aspects of game theory.