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

13 May 2019

Stéphane Girard

Papers citing "Sub-Weibull distributions: generalizing sub-Gaussian and sub-Exponential properties to heavier-tailed distributions"

19 / 19 papers shown

Title
Weighted Random Dot Product Graphs Bernardo Marenco P. Bermolen Marcelo Fiori Federico Larroca Gonzalo Mateos 42 1 0 06 May 2025
Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise Vinay Kanakeri Aritra Mitra 27 0 0 25 Apr 2025
Concentration Inequalities for Statistical Inference Huiming Zhang Songxi Chen 53 63 0 24 Feb 2025
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis Zhijie Chen Qiaobo Li A. Banerjee FedML 37 0 0 11 Nov 2024
Exponential tilting of subweibull distributions F. W. Townes 36 1 0 16 Jul 2024
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks Fanghui Liu L. Dadi V. Cevher 82 2 0 29 Apr 2024
On the best approximation by finite Gaussian mixtures Yun Ma Yihong Wu Pengkun Yang 43 1 0 13 Apr 2024
A General Reduction for High-Probability Analysis with General Light-Tailed Distributions Amit Attia Tomer Koren 23 1 0 05 Mar 2024
Zero-Inflated Bandits Haoyu Wei Runzhe Wan Lei Shi Rui Song 42 0 0 25 Dec 2023
General Tail Bounds for Non-Smooth Stochastic Mirror Descent Khaled Eldowa Andrea Paudice 26 5 0 12 Dec 2023
Choosing the parameter of the Fermat distance: navigating geometry and noise Frédéric Chazal Laure Ferraris Pablo Groisman Matthieu Jonckheere Frédéric Pascal F. Sapienza OT 21 0 0 30 Nov 2023
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks Behrad Moniri Donghwan Lee Hamed Hassani Yan Sun MLT 40 19 0 11 Oct 2023
Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy Christian Covington Xi He James Honaker Gautam Kamath 28 26 0 27 Oct 2021
Bayesian neural network unit priors and generalized Weibull-tail property M. Vladimirova Julyan Arbel Stéphane Girard BDL 54 9 0 06 Oct 2021
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data Abhishek Roy Krishnakumar Balasubramanian Murat A. Erdogdu 34 18 0 06 Sep 2021
Local Differential Privacy for Bayesian Optimization Xingyu Zhou Jian Tan 11 24 0 13 Oct 2020
On the Non-Asymptotic Concentration of Heteroskedastic Wishart-type Matrix T. Tony Cai Rungang Han Anru R. Zhang 42 15 0 28 Aug 2020
Sharp Concentration Results for Heavy-Tailed Distributions Milad Bakhshizadeh A. Maleki Víctor Pena 9 23 0 30 Mar 2020
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 162 454 0 03 Dec 2007