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2006.14211
Cited By
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems
25 June 2020
B. Mukhoty
G. Gopakumar
Prateek Jain
Purushottam Kar
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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
ε
\varepsilon
ε
-contamination model
Arvind Rathnashyam
Alex Gittens
63
0
0
05 Sep 2024
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
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
C. Kümmerle
J. Maly
76
1
0
08 Jun 2023
Imbalanced Mixed Linear Regression
Pini Zilber
B. Nadler
56
5
0
29 Jan 2023
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
Abhimanyu Das
Ayush Jain
Weihao Kong
Rajat Sen
86
4
0
23 Nov 2022
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
Xiyang Liu
Weihao Kong
Sham Kakade
Sewoong Oh
OOD
FedML
99
77
0
18 Feb 2021
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
Philip Thompson
89
9
0
12 Dec 2020
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
Scott Pesme
Nicolas Flammarion
FedML
67
33
0
01 Jul 2020
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
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