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Comparison and anti-concentration bounds for maxima of Gaussian random
  vectors

Comparison and anti-concentration bounds for maxima of Gaussian random vectors

21 January 2013
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
ArXivPDFHTML

Papers citing "Comparison and anti-concentration bounds for maxima of Gaussian random vectors"

21 / 21 papers shown
Title
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback
Nan Lu
Ethan X. Fang
Junwei Lu
129
0
0
27 Apr 2025
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models
David X. Wu
A. Sahai
26
2
0
23 Jun 2023
Testing Many Zero Restrictions in a High Dimensional Linear Regression
  Setting
Testing Many Zero Restrictions in a High Dimensional Linear Regression Setting
Jonathan B. Hill
31
0
0
22 Jan 2023
A Global Wavelet Based Bootstrapped Test of Covariance Stationarity
A Global Wavelet Based Bootstrapped Test of Covariance Stationarity
Jonathan B. Hill
Tianqi Li
16
1
0
25 Oct 2022
High-dimensional Data Bootstrap
High-dimensional Data Bootstrap
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
29
28
0
19 May 2022
On Gaussian Approximation for M-Estimator
On Gaussian Approximation for M-Estimator
Masaaki Imaizumi
Taisuke Otsu
22
3
0
31 Dec 2020
Multivariate Smoothing via the Fourier Integral Theorem and Fourier
  Kernel
Multivariate Smoothing via the Fourier Integral Theorem and Fourier Kernel
Nhat Ho
S. Walker
15
8
0
28 Dec 2020
Towards Understanding Ensemble, Knowledge Distillation and
  Self-Distillation in Deep Learning
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
Zeyuan Allen-Zhu
Yuanzhi Li
FedML
31
354
0
17 Dec 2020
Lasso Inference for High-Dimensional Time Series
Lasso Inference for High-Dimensional Time Series
R. Adámek
Stephan Smeekes
Ines Wilms
AI4TS
26
33
0
21 Jul 2020
Improved Central Limit Theorem and bootstrap approximations in high
  dimensions
Improved Central Limit Theorem and bootstrap approximations in high dimensions
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
30
74
0
22 Dec 2019
A robust bootstrap change point test for high-dimensional location
  parameter
A robust bootstrap change point test for high-dimensional location parameter
Mengjia Yu
Xiaohui Chen
21
10
0
06 Apr 2019
Multiscale inference and long-run variance estimation in nonparametric
  regression with time series errors
Multiscale inference and long-run variance estimation in nonparametric regression with time series errors
Marina Khismatullina
M. Vogt
13
8
0
04 Mar 2019
High-Dimensional Econometrics and Regularized GMM
High-Dimensional Econometrics and Regularized GMM
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Christian B. Hansen
Kengo Kato
26
67
0
05 Jun 2018
Bootstrap confidence sets for spectral projectors of sample covariance
Bootstrap confidence sets for spectral projectors of sample covariance
A. Naumov
V. Spokoiny
V. Ulyanov
19
39
0
02 Mar 2017
Confidence Bands for Coefficients in High Dimensional Linear Models with
  Error-in-variables
Confidence Bands for Coefficients in High Dimensional Linear Models with Error-in-variables
A. Belloni
Victor Chernozhukov
A. Kaul
31
18
0
01 Mar 2017
Quantile Graphical Models: Prediction and Conditional Independence with
  Applications to Systemic Risk
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk
A. Belloni
Mingli Chen
Victor Chernozhukov
17
7
0
01 Jul 2016
Simultaneous Inference for High-dimensional Linear Models
Simultaneous Inference for High-dimensional Linear Models
Xianyang Zhang
Guang Cheng
13
133
0
03 Mar 2016
Constrained Conditional Moment Restriction Models
Constrained Conditional Moment Restriction Models
Victor Chernozhukov
Whitney Newey
Andrés Santos
35
27
0
21 Sep 2015
Gaussian Approximation for High Dimensional Time Series
Gaussian Approximation for High Dimensional Time Series
Danna Zhang
W. Wu
29
129
0
27 Aug 2015
Density Level Sets: Asymptotics, Inference, and Visualization
Density Level Sets: Asymptotics, Inference, and Visualization
Yen-Chi Chen
Christopher R. Genovese
Larry A. Wasserman
27
98
0
21 Apr 2015
Nonparametric modal regression
Nonparametric modal regression
Yen-Chi Chen
Christopher R. Genovese
R. Tibshirani
Larry A. Wasserman
46
108
0
04 Dec 2014
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