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Statistical consistency and asymptotic normality for high-dimensional
  robust M-estimators

Statistical consistency and asymptotic normality for high-dimensional robust M-estimators

1 January 2015
Po-Ling Loh
ArXivPDFHTML

Papers citing "Statistical consistency and asymptotic normality for high-dimensional robust M-estimators"

14 / 14 papers shown
Title
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression
Yixuan Zhang
Dongyan
Yudong Chen
Qiaomin Xie
19
0
0
11 Apr 2025
Statistical Guarantees for Approximate Stationary Points of Simple
  Neural Networks
Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks
Mahsa Taheri
Fang Xie
Johannes Lederer
19
0
0
09 May 2022
High-dimensional nonconvex lasso-type $M$-estimators
High-dimensional nonconvex lasso-type MMM-estimators
Jad Beyhum
Franccois Portier
11
0
0
12 Apr 2022
Asymptotic behaviour of penalized robust estimators in logistic
  regression when dimension increases
Asymptotic behaviour of penalized robust estimators in logistic regression when dimension increases
Ana M. Bianco
G. Boente
Gonzalo Chebi
69
2
0
28 Jan 2022
A Bernstein-type Inequality for High Dimensional Linear Processes with
  Applications to Robust Estimation of Time Series Regressions
A Bernstein-type Inequality for High Dimensional Linear Processes with Applications to Robust Estimation of Time Series Regressions
Linbo Liu
Danna Zhang
AI4TS
18
0
0
21 Sep 2021
High-Dimensional Quantile Regression: Convolution Smoothing and Concave
  Regularization
High-Dimensional Quantile Regression: Convolution Smoothing and Concave Regularization
Kean Ming Tan
Lan Wang
Wen-Xin Zhou
12
57
0
12 Sep 2021
Differentially private inference via noisy optimization
Differentially private inference via noisy optimization
Marco Avella-Medina
Casey Bradshaw
Po-Ling Loh
FedML
16
29
0
19 Mar 2021
Approximate Laplace approximations for scalable model selection
Approximate Laplace approximations for scalable model selection
D. Rossell
Oriol Abril
A. Bhattacharya
8
15
0
14 Dec 2020
All-In-One Robust Estimator of the Gaussian Mean
All-In-One Robust Estimator of the Gaussian Mean
A. Dalalyan
A. Minasyan
6
25
0
04 Feb 2020
Statistical Analysis of Stationary Solutions of Coupled Nonconvex
  Nonsmooth Empirical Risk Minimization
Statistical Analysis of Stationary Solutions of Coupled Nonconvex Nonsmooth Empirical Risk Minimization
Zhengling Qi
Ying Cui
Yufeng Liu
J. Pang
14
5
0
06 Oct 2019
Robustness and Tractability for Non-convex M-estimators
Robustness and Tractability for Non-convex M-estimators
Ruizhi Zhang
Y. Mei
Jianjun Shi
Huan Xu
15
4
0
05 Jun 2019
Robust Estimation via Robust Gradient Estimation
Robust Estimation via Robust Gradient Estimation
Adarsh Prasad
A. Suggala
Sivaraman Balakrishnan
Pradeep Ravikumar
20
219
0
19 Feb 2018
Complete Dictionary Recovery over the Sphere
Complete Dictionary Recovery over the Sphere
Ju Sun
Qing Qu
John N. Wright
31
202
0
26 Apr 2015
Learning without Concentration for General Loss Functions
Learning without Concentration for General Loss Functions
S. Mendelson
55
49
0
13 Oct 2014
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