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Optimal Mean Estimation without a Variance

Optimal Mean Estimation without a Variance

24 November 2020
Yeshwanth Cherapanamjeri
Nilesh Tripuraneni
Peter L. Bartlett
Michael I. Jordan
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Papers citing "Optimal Mean Estimation without a Variance"

6 / 6 papers shown
Title
From Gradient Clipping to Normalization for Heavy Tailed SGD
From Gradient Clipping to Normalization for Heavy Tailed SGD
Florian Hübler
Ilyas Fatkhullin
Niao He
40
5
0
17 Oct 2024
Tight Bounds for Local Glivenko-Cantelli
Tight Bounds for Local Glivenko-Cantelli
Moïse Blanchard
Václav Vorácek
18
5
0
03 Aug 2023
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
Ilias Diakonikolas
D. Kane
Ankit Pensia
Thanasis Pittas
OOD
34
10
0
04 May 2023
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Ilias Diakonikolas
D. Kane
Jasper C. H. Lee
Ankit Pensia
17
12
0
29 Nov 2022
Convergence Rates of Stochastic Gradient Descent under Infinite Noise
  Variance
Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
Hongjian Wang
Mert Gurbuzbalaban
Lingjiong Zhu
Umut cSimcsekli
Murat A. Erdogdu
13
41
0
20 Feb 2021
On Monte-Carlo methods in convex stochastic optimization
On Monte-Carlo methods in convex stochastic optimization
Daniel Bartl
S. Mendelson
23
8
0
19 Jan 2021
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