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20132023
most citedLearning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods

38 citations · 74 across the 45 of their papers we have counts for

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Showing 2016Show all

6 papers · 1 filter

math.CO2016

Short monadic second order sentences about sparse random graphs

Andrey Kupavskii, Maksim Zhukovskii

In this paper, we study zero-one laws for the Erdős--Rényi random graph model in the case when for . For a given class of logical sentences…

math.CO2016★ 6 cited

On infinite spectra of first order properties of random graphs

M. E. Zhukovskii

In this paper, we study spectra of first order properties of Erdos-Renyi random graph. We proved that minimal quantifier depth of a formula with an infinite spectrum is either 4 or…

math.CO2016

Monadic second-order properties of very sparse random graphs

L. B. Ostrovsky, M. E. Zhukovskii

We study asymptotical probabilities of first order and monadic second order properties of Erdos-Renyi random graph G(n,n^{-a}). The random graph obeys FO (MSO) zero-one k-law if fo…

cs.CC2016

The Descriptive Complexity of Subgraph Isomorphism without Numerics

Oleg Verbitsky, Maksim Zhukovskii

Let be a connected graph with vertices. The existence of a subgraph isomorphic to can be defined in first-order logic with quantifier depth no better than , si…

math.OC2016★ 38 cited

Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods

Lev Bogolubsky, Pavel Dvurechensky, Alexander Gasnikov +5

In this paper, we consider a non-convex loss-minimization problem of learning Supervised PageRank models, which can account for some properties not considered by classical approach…

math.PR2016

Universal Zero-One --Law

Aleksandr Matushkin

In this paper the limit probabilities of first-order properties are studied. The random graph {\it obeys Zero-One -Law} if for each first-order property with quantifier…