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. 1904.09027
  4. Cited By
Adaptive Huber Regression on Markov-dependent Data
v1v2 (latest)

Adaptive Huber Regression on Markov-dependent Data

18 April 2019
Jianqing Fan
Yongyi Guo
Bai Jiang
ArXiv (abs)PDFHTML

Papers citing "Adaptive Huber Regression on Markov-dependent Data"

12 / 12 papers shown
Title
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning
Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning
Weidong Liu
Jiyuan Tu
Yichen Zhang
Xi Chen
OffRL
67
4
0
04 Oct 2023
Bernstein's inequalities for general Markov chains
Bernstein's inequalities for general Markov chains
Bai Jiang
Qiang Sun
Jianqing Fan
49
45
0
28 May 2018
Hoeffding's lemma for Markov Chains and its applications to statistical
  learning
Hoeffding's lemma for Markov Chains and its applications to statistical learning
Jianqing Fan
Bai Jiang
Qiang Sun
59
28
0
01 Feb 2018
Mixing time estimation in reversible Markov chains from a single sample
  path
Mixing time estimation in reversible Markov chains from a single sample path
Daniel J. Hsu
A. Kontorovich
D. A. Levin
Yuval Peres
Csaba Szepesvári
70
83
0
24 Aug 2017
Adaptive Huber Regression
Adaptive Huber Regression
Qiang Sun
Wen-Xin Zhou
Jianqing Fan
162
281
0
21 Jun 2017
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust
  Low-Rank Matrix Recovery
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery
Jianqing Fan
Weichen Wang
Ziwei Zhu
69
99
0
28 Mar 2016
I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic
  Complexity and Statistical Error
I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error
Jianqing Fan
Han Liu
Qiang Sun
Tong Zhang
70
115
0
03 Jul 2015
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
Weijie Su
Emmanuel Candes
425
146
0
29 Mar 2015
Statistical consistency and asymptotic normality for high-dimensional
  robust M-estimators
Statistical consistency and asymptotic normality for high-dimensional robust M-estimators
Po-Ling Loh
100
194
0
01 Jan 2015
Robust Estimation of High-Dimensional Mean Regression
Robust Estimation of High-Dimensional Mean Regression
Jianqing Fan
Quefeng Li
Yuyan Wang
85
30
0
08 Oct 2014
Challenges of Big Data Analysis
Challenges of Big Data Analysis
Jianqing Fan
Fang Han
Han Liu
136
1,286
0
07 Aug 2013
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
535
2,531
0
07 Jan 2008
1