15 papers
Online Permutation Embedding: Optimal Stopping and Scaling Laws
Dylan J. Altschuler, Quentin Dubroff, Konstantin Tikhomirov
We study optimal online algorithms for embedding a permutation of into an iid stream of uniform random variables. This problem is a broad generalization of the cl…
Level-set entropy and sparse randomized embeddings
Konstantin Tikhomirov
Let be a sparse random matrix. For a fixed -dimensional subspace , let denote an isometry from ${\math…
Online Beck--Fiala Down to Logarithmic Sparsity
Dylan J. Altschuler, Konstantin Tikhomirov
The Beck--Fiala conjecture asserts that every matrix with at most nonzero entries in each column has discrepancy . A major breakthrough re…
Well-invertible column subsets of sparse matrices are rare
Han Huang, Mark Rudelson, Konstantin Tikhomirov
A random matrix is an \emph{-oblivious subspace injection} (OSI) if for every , and for every fixed…
Cotype of random polytopes
Han Huang, Konstantin Tikhomirov
For , let be a random polytope in with vertices , , where are i.i.d standard Gaussian vectors in ${\mathb…
A threshold for online balancing of sparse i.i.d. vectors
Dylan J. Altschuler, Konstantin Tikhomirov
Consider the task of \textit{online} vector balancing for stochastic arrivals , where the time horizon satisfies , and the are i.i.d uniform -…
Metric Poincaré inequalities for graphs
Dylan J. Altschuler, Pandelis Dodos, Konstantin Tikhomirov +1
This article obtains purely metric counterparts of cornerstone results in the theory of embedding graphs into normed spaces. Our first main result is a metric analogue of Matoušek'…
Metric dimension reduction modulus for superlogarithmic distortion
Dylan J. Altschuler, Konstantin Tikhomirov
The metric dimension reduction modulus is the smallest such that every --point metric space can be embedded into some -dimensional normed space, with…
Discrete Poincaré inequalities and universal approximators for random graphs
Dylan J. Altschuler, Pandelis Dodos, Konstantin Tikhomirov +1
Nonlinear Poincaré inequalities are indispensable tools in the study of dimension reduction and low-distortion embeddings of graphs into metric spaces, and have found remarkable al…
A universal threshold for geometric embeddings of trees
Dylan J. Altschuler, Pandelis Dodos, Konstantin Tikhomirov +1
A graph is geometrically embeddable into a normed space when there is a mapping such that if and only if , for…
Universal geometric non-embedding of random regular graphs
Dylan J. Altschuler, Konstantin Tikhomirov
Let be fixed, be a large integer. It is a classical result that --regular expanders on vertices are not embeddable as geometric (distance) graphs into E…
Locally seeded embeddings, and Ramsey numbers of bipartite graphs with sublinear bandwidth
Dylan J. Altschuler, Han Huang, Konstantin Tikhomirov
A seminal result of Lee asserts that the Ramsey number of any bipartite -degenerate graph satisfies . In particular, this bound applies to every b…
A combinatorial approach to nonlinear spectral gaps
Dylan J. Altschuler, Pandelis Dodos, Konstantin Tikhomirov +1
A seminal open question of Pisier and Mendel--Naor asks whether every degree-regular graph which satisfies the classical discrete Poincaré inequality for scalar functions, also sat…
On spectral outliers of inhomogeneous symmetric random matrices
Dylan J. Altschuler, Patrick Oliveira Santos, Konstantin Tikhomirov +1
Sharp conditions for the presence of spectral outliers are well understood for Wigner random matrices with iid entries. In the setting of inhomogeneous symmetric random matrices (i…
A note on the capacity of the binary perceptron
Dylan J. Altschuler, Konstantin Tikhomirov
Determining the capacity of the Binary Perceptron is a long-standing problem. Krauth and Mezard (1989) conjectured an explicit value of , approximately equal to .833, an…