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Globally-convergent Iteratively Reweighted Least Squares for Robust
  Regression Problems

Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems

25 June 2020
B. Mukhoty
G. Gopakumar
Prateek Jain
Purushottam Kar
ArXiv (abs)PDFHTML

Papers citing "Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems"

14 / 14 papers shown
Title
Iterative thresholding for non-linear learning in the strong
  $\varepsilon$-contamination model
Iterative thresholding for non-linear learning in the strong ε\varepsilonε-contamination model
Arvind Rathnashyam
Alex Gittens
63
0
0
05 Sep 2024
Linear Regression using Heterogeneous Data Batches
Linear Regression using Heterogeneous Data Batches
Ayush Jain
Rajat Sen
Weihao Kong
Abhimanyu Das
A. Orlitsky
56
3
0
05 Sep 2023
Near Optimal Heteroscedastic Regression with Symbiotic Learning
Near Optimal Heteroscedastic Regression with Symbiotic Learning
Dheeraj Baby
Aniket Das
Dheeraj M. Nagaraj
Praneeth Netrapalli
86
3
0
25 Jun 2023
Recovering Simultaneously Structured Data via Non-Convex Iteratively
  Reweighted Least Squares
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares
C. Kümmerle
J. Maly
76
1
0
08 Jun 2023
Imbalanced Mixed Linear Regression
Imbalanced Mixed Linear Regression
Pini Zilber
B. Nadler
56
5
0
29 Jan 2023
Corruption-tolerant Algorithms for Generalized Linear Models
Corruption-tolerant Algorithms for Generalized Linear Models
B. Mukhoty
Debojyoti Dey
Purushottam Kar
24
1
0
11 Dec 2022
Efficient List-Decodable Regression using Batches
Efficient List-Decodable Regression using Batches
Abhimanyu Das
Ayush Jain
Weihao Kong
Rajat Sen
86
4
0
23 Nov 2022
AGGLIO: Global Optimization for Locally Convex Functions
AGGLIO: Global Optimization for Locally Convex Functions
Debojyoti Dey
B. Mukhoty
Purushottam Kar
55
2
0
06 Nov 2021
Robust and Differentially Private Mean Estimation
Robust and Differentially Private Mean Estimation
Xiyang Liu
Weihao Kong
Sham Kakade
Sewoong Oh
OODFedML
99
77
0
18 Feb 2021
Iteratively Reweighted Least Squares for Basis Pursuit with Global
  Linear Convergence Rate
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
C. Kümmerle
C. M. Verdun
Dominik Stöger
44
15
0
22 Dec 2020
Outlier-robust sparse/low-rank least-squares regression and robust
  matrix completion
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion
Philip Thompson
89
9
0
12 Dec 2020
Tilted Empirical Risk Minimization
Tilted Empirical Risk Minimization
Tian Li
Ahmad Beirami
Maziar Sanjabi
Virginia Smith
91
135
0
02 Jul 2020
Online Robust Regression via SGD on the l1 loss
Online Robust Regression via SGD on the l1 loss
Scott Pesme
Nicolas Flammarion
FedML
67
33
0
01 Jul 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches
Robust Meta-learning for Mixed Linear Regression with Small Batches
Weihao Kong
Raghav Somani
Sham Kakade
Sewoong Oh
OOD
83
35
0
17 Jun 2020
1