10 citations · 37 across the 28 of their papers we have counts for
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math.ST2021
Non-Asymptotic Bounds for the Estimator in Linear Regression with Uniform Noise
Yufei Yi, Matey Neykov
The Chebyshev or estimator is an unconventional alternative to the ordinary least squares in solving linear regressions. It is defined as the minimizer of the $\ell…
stat.ME2021★ 1 cited
A New Perspective on Debiasing Linear Regressions
Yufei Yi, Matey Neykov
In this paper, we propose an abstract procedure for debiasing constrained or regularized potentially high-dimensional linear models. It is elementary to show that the proposed proc…
math.ST2021
Minimax Optimal Conditional Density Estimation under Total Variation Smoothness
Michael Li, Matey Neykov, Sivaraman Balakrishnan
This paper studies the minimax rate of nonparametric conditional density estimation under a weighted absolute value loss function in a multivariate setting. We first demonstrate th…