Matey Neykov | DeepAI

AI Chat

Featured Co-authors

Zhaoran Wang
121 publications
Han Liu
114 publications
Zhuoran Yang
110 publications
Tuo Zhao
94 publications
Larry Wasserman
86 publications
Yuan Cao
85 publications
Lin F. Yang
65 publications
Sivaraman Balakrishnan
64 publications
Yichi Zhang
59 publications
Tianxi Cai
46 publications
Qian Lin
31 publications

∙ 01/18/2022

On the minimax rate of the Gaussian sequence model under bounded convex constraints

We determine the exact minimax rate of a Gaussian sequence model under b...

0 Matey Neykov, et al. ∙

∙ 12/22/2021

Local permutation tests for conditional independence

In this paper, we investigate local permutation tests for testing condit...

0 Ilmun Kim, et al. ∙

∙ 08/17/2021

Non-Asymptotic Bounds for the ℓ_∞ Estimator in Linear Regression with Uniform Noise

The Chebyshev or ℓ_∞ estimator is an unconventional alternative to the o...

0 Yufei Yi, et al. ∙

∙ 04/08/2021

A New Perspective on Debiasing Linear Regressions

In this paper, we propose an abstract procedure for debiasing constraine...

0 Yufei Yi, et al. ∙

∙ 03/12/2021

Minimax Optimal Conditional Density Estimation under Total Variation Smoothness

This paper studies the minimax rate of nonparametric conditional density...

0 Michael Li, et al. ∙

∙ 05/15/2020

Non-Sparse PCA in High Dimensions via Cone Projected Power Iteration

In this paper, we propose a cone projected power iteration algorithm to ...

0 Yufei Yi, et al. ∙

∙ 03/26/2020

Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping

Electronic Health Records (EHR) data, a rich source for biomedical resea...

0 Yichi Zhang, et al. ∙

∙ 01/09/2020

Minimax Optimal Conditional Independence Testing

We consider the problem of conditional independence testing of X and Y g...

0 Matey Neykov, et al. ∙

∙ 09/21/2018

High Temperature Structure Detection in Ferromagnets

This paper studies structure detection problems in high temperature ferr...

0 Yuan Cao, et al. ∙

∙ 12/18/2017

Misspecified Nonconvex Statistical Optimization for Phase Retrieval

Existing nonconvex statistical optimization theory and methods crucially...

0 Zhuoran Yang, et al. ∙

∙ 09/20/2017

Property Testing in High Dimensional Ising models

This paper explores the information-theoretic limitations of graph prope...

0 Matey Neykov, et al. ∙

∙ 07/28/2017

Adaptive Inferential Method for Monotone Graph Invariants

We consider the problem of undirected graphical model inference. In many...

0 Junwei Lu, et al. ∙

∙ 01/18/2017

Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes

We consider the recovery of regression coefficients, denoted by β_0, for...

0 Abhishek Chakrabortty, et al. ∙

∙ 08/10/2016

Combinatorial Inference for Graphical Models

We propose a new family of combinatorial inference problems for graphica...

0 Matey Neykov, et al. ∙

∙ 11/25/2015

L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs

It is known that for a certain class of single index models (SIMs) Y = f...

0 Matey Neykov, et al. ∙

∙ 11/07/2015

Signed Support Recovery for Single Index Models in High-Dimensions

In this paper we study the support recovery problem for single index mod...

0 Matey Neykov, et al. ∙

∙ 10/30/2015

A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations

We propose a new inferential framework for constructing confidence regio...

0 Matey Neykov, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world