most citedNearly Minimax Optimal Wasserstein Conditional Independence Testing

1 citations · 1 across the 3 of their papers we have counts for

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3 papers

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

Conditional Independence Testing for Discrete Distributions: Beyond - and -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…

math.ST2022

Adversarial Sign-Corrupted Isotonic Regression

Shamindra Shrotriya, Matey Neykov

Classical univariate isotonic regression involves nonparametric estimation under a monotonicity constraint of the true signal. We consider a variation of this generating process, w…