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High Dimensional Robust $M$-Estimation: Arbitrary Corruption and Heavy
  Tails

High Dimensional Robust MMM-Estimation: Arbitrary Corruption and Heavy Tails

24 January 2019
L. Liu
Tianyang Li
C. Caramanis
ArXivPDFHTML

Papers citing "High Dimensional Robust $M$-Estimation: Arbitrary Corruption and Heavy Tails"

6 / 6 papers shown
Title
Outlier-Robust Sparse Estimation via Non-Convex Optimization
Outlier-Robust Sparse Estimation via Non-Convex Optimization
Yu Cheng
Ilias Diakonikolas
Rong Ge
Shivam Gupta
D. Kane
Mahdi Soltanolkotabi
42
13
0
23 Sep 2021
Robust High Dimensional Expectation Maximization Algorithm via Trimmed
  Hard Thresholding
Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding
Di Wang
Xiangyu Guo
Shi Li
Jinhui Xu
23
3
0
19 Oct 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
29
86
0
16 May 2020
Outlier-Robust High-Dimensional Sparse Estimation via Iterative
  Filtering
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
Ilias Diakonikolas
Sushrut Karmalkar
D. Kane
Eric Price
Alistair Stewart
23
41
0
19 Nov 2019
Outlier-robust estimation of a sparse linear model using
  $\ell_1$-penalized Huber's $M$-estimator
Outlier-robust estimation of a sparse linear model using ℓ1\ell_1ℓ1​-penalized Huber's MMM-estimator
A. Dalalyan
Philip Thompson
23
67
0
12 Apr 2019
Securing Distributed Gradient Descent in High Dimensional Statistical
  Learning
Securing Distributed Gradient Descent in High Dimensional Statistical Learning
Lili Su
Jiaming Xu
FedML
137
35
0
26 Apr 2018
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