74 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- A. Gasnikov4 profiles16 · h 31
- A. Beznosikov2 profiles11 · h 18
- A. M. Raigorodskii2 profiles6 · h 7
- D. Musatov5 · h 9
- K. Alfaro-Bittner2 profiles5 · h 8
- K. Kovalenko2 profiles5 · h 5
- S. Boccaletti5 · h 60
- A. Rogozin4 · h 13
- Eduard A. Gorbunov4 · h 29
- M. Perc4 · h 119
- A. Polyanskii3 · h 8
- Abdurakhmon Sadiev2 · h 11
- Moscow Institute of Physics and TechnologyRU31 papers
- Institute for Information Transmission ProblemsRU11 papers
- National Research University Higher School of EconomicsRU8 papers
- Buryat State UniversityRU7 papers
- Lomonosov Moscow State UniversityRU7 papers
- The Russian Presidential Academy of National Economy and Public AdministrationRU7 papers
- Institute for Complex SystemsIT6 papers
- Universidad Rey Juan CarlosES6 papers
- Alma Mater EuropaeaSI4 papers
- China Medical UniversityTW4 papers
- China Medical University HospitalTW4 papers
- Complexity Science HubAT4 papers
7 papers · 1 filter
Recent theoretical advances in decentralized distributed convex optimization
Eduard Gorbunov, Alexander Rogozin, Aleksandr Beznosikov +2
In the last few years, the theory of decentralized distributed convex optimization has made significant progress. The lower bounds on communications rounds and oracle calls have ap…
D-dimensional oscillators in simplicial structures: odd and even dimensions display different synchronization scenarios
X. Dai, K. Kovalenko, M. Molodyk +8
From biology to social science, the functioning of a wide range of systems is the result of elementary interactions which involve more than two constituents, so that their descript…
Zeroth-Order Algorithms for Smooth Saddle-Point Problems
Abdurakhmon Sadiev, Aleksandr Beznosikov, Pavel Dvurechensky +1
Saddle-point problems have recently gained increased attention from the machine learning community, mainly due to applications in training Generative Adversarial Networks using sto…
Linearly Convergent Gradient-Free Methods for Minimization of Parabolic Approximation
Aleksandra Bazarova, Aleksandr Beznosikov, Alexander Gasnikov
Finding the global minimum of non-convex functions is one of the main and most difficult problems in modern optimization. In the first part of the paper, we consider a certain clas…
Growing scale-free simplices
K. Kovalenko, I. Sendiña-Nadal, N. Khalil +6
The past two decades have seen significant successes in our understanding of complex networked systems, from the mapping of real-world social, biological and technological networks…
Gradient-Free Methods for Saddle-Point Problem
Aleksandr Beznosikov, Abdurakhmon Sadiev, Alexander Gasnikov
In the paper, we generalize the approach Gasnikov et. al, 2017, which allows to solve (stochastic) convex optimization problems with an inexact gradient-free oracle, to the convex-…
On faces of quasi-arithmetic Coxeter polytopes
Nikolay Bogachev, Alexander Kolpakov
We prove that each lower-dimensional face of a quasi-arithmetic Coxeter polytope, which happens to be itself a Coxeter polytope, is also quasi-arithmetic. We also provide a suffici…