2 citations · 2 across the 1 of their papers we have counts for
6 papers
Block Format Error Bounds and Optimal Block Size Selection
Ilya Soloveychik, Ilya Lyubomirsky, Xin Wang +1
The amounts of data that need to be transmitted, processed, and stored by the modern deep neural networks have reached truly enormous volumes in the last few years calling for the…
Central Limit Theorem for Symmetric Exchangeable Random Variables
Ilya Soloveychik
A central limit theorem for arrays of symmetric row-wise exchangeable random variables is presented. The result is valid for finite and infinite extendable and non-extendable seque…
Asymptotically Pseudo-Independent Matrices
Ilya Soloveychik, Vahid Tarokh
We show that the family of pseudo-random matrices recently discovered by Soloveychik, Xiang, and Tarokh in their work `Symmetric Pseudo-Random Matrices' exhibits asymptotic indepen…
Stationary Geometric Graphical Model Selection
Ilya Soloveychik, Vahid Tarokh
We consider the problem of model selection in Gaussian Markov fields in the sample deficient scenario. In many practically important cases, the underlying networks are embedded int…
Region Detection in Markov Random Fields: Gaussian Case
Ilya Soloveychik, Vahid Tarokh
We consider the problem of model selection in Gaussian Markov fields in the sample deficient scenario. The benchmark information-theoretic results in the case of d-regular graphs r…
On the Spectral Norms of Pseudo-Wigner and Related Matrices
Ilya Soloveychik, Vahid Tarokh
We investigate the spectral norms of symmetric matrices from two pseudo-random ensembles. The first is the pseudo-Wigner ensemble introduced in "Pseudo-Wigner Matrices…