ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.05008
  4. Cited By
A generalized Catoni's ${\rm M}$-estimator under finite {$α$-th
  moment assumption} with $α\in (1,2)$

A generalized Catoni's M{\rm M}M-estimator under finite {ααα-th moment assumption} with α∈(1,2)α\in (1,2)α∈(1,2)

10 October 2020
Peng Chen
Xinghu Jin
Xiang Li
Lihu Xu
ArXiv (abs)PDFHTML

Papers citing "A generalized Catoni's ${\rm M}$-estimator under finite {$α$-th moment assumption} with $α\in (1,2)$"

8 / 8 papers shown
Title
Robust estimations from distribution structures: I. Mean
Robust estimations from distribution structures: I. Mean
Tuobang Li
OOD
87
0
0
18 Mar 2024
Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function
  Approximation: Minimax Optimal and Instance-Dependent Regret Bounds
Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds
Jiayi Huang
Han Zhong
Liwei Wang
Lin F. Yang
77
10
0
12 Jun 2023
Existence and uniqueness of weighted generalized $ψ$-estimators
Existence and uniqueness of weighted generalized ψψψ-estimators
M. Barczy
Zsolt Páles
65
2
0
11 Nov 2022
Catoni-style confidence sequences for heavy-tailed mean estimation
Catoni-style confidence sequences for heavy-tailed mean estimation
Hongjian Wang
Aaditya Ramdas
126
32
0
02 Feb 2022
Robust supervised learning with coordinate gradient descent
Robust supervised learning with coordinate gradient descent
Stéphane Gaïffas
Ibrahim Merad
OOD
69
2
0
31 Jan 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite
  Variance Assumption
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption
Lihu Xu
Fang Yao
Qiuran Yao
Huiming Zhang
69
11
0
10 Jan 2022
Sample Selection with Uncertainty of Losses for Learning with Noisy
  Labels
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
Xiaobo Xia
Tongliang Liu
Bo Han
Biwei Huang
Jun Yu
Gang Niu
Masashi Sugiyama
NoLa
77
113
0
01 Jun 2021
Sharper Sub-Weibull Concentrations
Sharper Sub-Weibull Concentrations
Huiming Zhang
Haoyu Wei
116
20
0
04 Feb 2021
1