25 citations · 89 across the 31 of their papers we have counts for
49 papers
The threshold for online balancing of i.i.d. binary vectors
Dylan J. Altschuler, Konstantin Tikhomirov
Consider the task of online vector balancing for stochastic arrivals , where the are independent uniformly random --sparse binary vectors in .…
On pseudospectrum of inhomogeneous non-Hermitian random matrices
Konstantin Tikhomirov
Let be an matrix with mutually independent centered Gaussian entries. Define \begin{align*} σ^*:=\max\limits_{i,j\leq n}\sqrt{{\mathbb E}\,|A_{i,j}|^2}, \quad σ:=\m…
On the probability that convex hull of random points contains the origin
Konstantin Tikhomirov
The classical theorem of Wendel provides an exact formula for the probability that the convex hull of independent symmetrically distributed vectors in contains the…
Upgrading MLSI to LSI for reversible Markov chains
Justin Salez, Konstantin Tikhomirov, Pierre Youssef
For reversible Markov chains on finite state spaces, we show that the modified log-Sobolev inequality (MLSI) can be upgraded to a log-Sobolev inequality (LSI) at the surprisingly l…
On bounded degree graphs with large size-Ramsey numbers
Konstantin Tikhomirov
The size-Ramsey number of a graph is defined as the smallest integer so that there exists a graph with edges such that every -coloring of the edges…
A remark on the Ramsey number of the hypercube
Konstantin Tikhomirov
A well known conjecture of Burr and Erdos asserts that the Ramsey number of the hypercube on vertices is of the order . In this paper, we show that $r(…
Regularized modified log-Sobolev inequalities, and comparison of Markov chains
Konstantin Tikhomirov, Pierre Youssef
In this work, we develop a comparison procedure for the Modified log-Sobolev Inequality (MLSI) constants of two reversible Markov chains on a finite state space. Efficient comparis…
Average-case analysis of the Gaussian Elimination with Partial Pivoting
Han Huang, Konstantin Tikhomirov
The Gaussian Elimination with Partial Pivoting (GEPP) is a classical algorithm for solving systems of linear equations. Although in specific cases the loss of precision in GEPP due…
Quantitative invertibility of non-Hermitian random matrices
Konstantin Tikhomirov
The problem of estimating the smallest singular value of random square matrices is important in connection with matrix computations and analysis of the spectral distribution. In th…
Exact Matching of Random Graphs with Constant Correlation
Cheng Mao, Mark Rudelson, Konstantin Tikhomirov
This paper deals with the problem of graph matching or network alignment for Erdős--Rényi graphs, which can be viewed as a noisy average-case version of the graph isomorphism probl…
Shotgun assembly of unlabeled Erdos-Renyi graphs
Han Huang, Konstantin Tikhomirov
Given a positive integer , an unlabeled graph on vertices, and a vertex of , let be the subgraph of induced by vertices of of distance at most on…
On Dimension-dependent concentration for convex Lipschitz functions in product spaces
Han Huang, Konstantin Tikhomirov
Let , , and let be a random vector in with independent --subgaussian components. We show that for every --Lipschitz conve…
Random Graph Matching with Improved Noise Robustness
Cheng Mao, Mark Rudelson, Konstantin Tikhomirov
Graph matching, also known as network alignment, refers to finding a bijection between the vertex sets of two given graphs so as to maximally align their edges. This fundamental co…
Sharp Poincaré and log-Sobolev inequalities for the switch chain on regular bipartite graphs
Konstantin Tikhomirov, Pierre Youssef
Consider the switch chain on the set of -regular bipartite graphs on vertices with , for a small universal constant . We prove that the chain satisfi…
Singularity of sparse Bernoulli matrices
Alexander E. Litvak, Konstantin E. Tikhomirov
Let be an random matrix with i.i.d. Bernoulli(p) entries. We show that there is a universal constant such that, whenever and satisfy $C\log n/n\…
Distribution of the minimal distance of random linear codes
Jing Hao, Han Huang, Galyna Livshyts +1
In this paper, we study the distribution of the minimal distance (in the Hamming metric) of a random linear code of dimension in . We provide quantitative estim…
A remark on the smallest singular value of powers of Gaussian matrices
Han Huang, Konstantin Tikhomirov
Let and let be the random matrix with i.i.d. standard real Gaussian entries. We show that there are constants depending only on such tha…
The smallest singular value of inhomogeneous square random matrices
Galyna V. Livshyts, Konstantin Tikhomirov, Roman Vershynin
We show that for an random matrix with independent uniformly anti-concentrated entries, such that , the smallest singular value $…
Hypercontractivity and Lower Deviation Estimates in Normed Spaces
Grigoris Paouris, Konstantin Tikhomirov, Petros Valettas
We consider the problem of estimating small ball probabilities for sub-additive,positively homogeneous functions with respect to th…
Outliers in spectrum of sparse Wigner matrices
Konstantin Tikhomirov, Pierre Youssef
In this paper, we study the effect of sparsity on the appearance of outliers in the semi-circular law. Let be a sequence of random symmetric matrices such that…
Estimates for order statistics in terms of quantiles
Alexander E. Litvak, Konstantin Tikhomirov
Let be independent non-negative random variables with cumulative distribution functions , each satisfying certain (rather mild) conditions. W…
Small ball probability for the condition number of random matrices
Alexander E. Litvak, Konstantin Tikhomirov, Nicole Tomczak-Jaegermann
Let be an random matrix with i.i.d. entries of zero mean, unit variance and a bounded subgaussian moment. We show that the condition number $s_{\max}(A)/s_{\min}(A)…
Singularity of random Bernoulli matrices
Konstantin Tikhomirov
For each , let be an random matrix with independent entries. We show that ${\mathbb P}\{\mbox{$M_n$ is singular}\}=(1/2+o_n(1))^n$, which settles an ol…
On delocalization of eigenvectors of random non-Hermitian matrices
Anna Lytova, Konstantin Tikhomirov
We study delocalization of null vectors and eigenvectors of random matrices with i.i.d entries. Let be an random matrix with i.i.d real subgaussian entries of zero…