ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1703.01721
  4. Cited By
The Bennett-Orlicz norm

The Bennett-Orlicz norm

6 March 2017
J. Wellner
ArXiv (abs)PDFHTML

Papers citing "The Bennett-Orlicz norm"

11 / 11 papers shown
Concentration Inequalities for Statistical Inference
Concentration Inequalities for Statistical InferenceCommunications in Mathematical Research (CMR), 2020
Huiming Zhang
Songxi Chen
655
75
0
24 Feb 2025
Spectral norm bounds for high-dimensional realized covariance matrices
  and application to weak factor models
Spectral norm bounds for high-dimensional realized covariance matrices and application to weak factor models
Yuta Koike
122
1
0
09 Oct 2023
Tight Concentration Inequality for Sub-Weibull Random Variables with
  Generalized Bernstien Orlicz norm
Tight Concentration Inequality for Sub-Weibull Random Variables with Generalized Bernstien Orlicz norm
Heejong Bong
Arun K. Kuchibhotla
142
2
0
08 Feb 2023
On Excess Mass Behavior in Gaussian Mixture Models with
  Orlicz-Wasserstein Distances
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein DistancesInternational Conference on Machine Learning (ICML), 2023
Aritra Guha
N. Ho
X. Nguyen
223
7
0
27 Jan 2023
Instance-dependent uniform tail bounds for empirical processes
Instance-dependent uniform tail bounds for empirical processes
S. Bahmani
207
0
0
21 Sep 2022
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity
Christian Frohlich
Robert C. Williamson
280
5
0
05 Aug 2022
Statistical Guarantees for Approximate Stationary Points of Shallow Neural Networks
Statistical Guarantees for Approximate Stationary Points of Shallow Neural Networks
Mahsa Taheri
Fang Xie
Johannes Lederer
348
1
0
09 May 2022
Near-Optimal Confidence Sequences for Bounded Random Variables
Near-Optimal Confidence Sequences for Bounded Random Variables
Arun K. Kuchibhotla
Qinqing Zheng
277
8
0
09 Jun 2020
Sub-Weibull distributions: generalizing sub-Gaussian and sub-Exponential
  properties to heavier-tailed distributions
Sub-Weibull distributions: generalizing sub-Gaussian and sub-Exponential properties to heavier-tailed distributions
M. Vladimirova
Stéphane Girard
Hien Nguyen
Julyan Arbel
487
107
0
13 May 2019
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics:
  Applications in Covariance Estimation and Linear Regression
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression
Arun K. Kuchibhotla
Abhishek Chakrabortty
377
122
0
08 Apr 2018
Prediction Error Bounds for Linear Regression With the TREX
Prediction Error Bounds for Linear Regression With the TREX
Jacob Bien
Irina Gaynanova
Johannes Lederer
Christian L. Müller
257
18
0
04 Jan 2018
1
Page 1 of 1