Matey Neykov

activity

20152026

most citedL1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs

10 citations · 37 across the 28 of their papers we have counts for

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Showing 2023Show all

3 papers · 1 filter

math.ST2023★ 1 cited

Nearly Minimax Optimal Wasserstein Conditional Independence Testing

Matey Neykov, Larry Wasserman, Ilmun Kim +1

This paper is concerned with minimax conditional independence testing. In contrast to some previous works on the topic, which use the total variation distance to separate the null…

math.ST2023

Robust Signal Detection with Quadratically Convex Orthosymmetric Constraints

Yikun Li, Matey Neykov

This paper studies the problem of robust signal detection in Gaussian noise under quadratically convex orthosymmetric (QCO) constraints. We consider a minimax testing framework whe…

math.ST2023

Conditional Independence Testing for Discrete Distributions: Beyond $χ^{2}$ - and $G$ -tests

Ilmun Kim, Matey Neykov, Sivaraman Balakrishnan +1

This paper is concerned with the problem of conditional independence testing for discrete data. In recent years, researchers have shed new light on this fundamental problem, emphas…

Nearly Minimax Optimal Wasserstein Conditional Independence Testing

Robust Signal Detection with Quadratically Convex Orthosymmetric Constraints

Conditional Independence Testing for Discrete Distributions: Beyond χ2- and G-tests

Conditional Independence Testing for Discrete Distributions: Beyond $χ^{2}$ - and $G$ -tests