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math.PR2026

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…

math.PR2026

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…

math.PR2026

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…

math.PR2025

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 -…

math.PR2024

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…

math.PR2024

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…