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Iterative Pre-Conditioning for Expediting the Gradient-Descent Method:
  The Distributed Linear Least-Squares Problem
v1v2 (latest)

Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem

6 August 2020
Kushal Chakrabarti
Nirupam Gupta
Nikhil Chopra
ArXiv (abs)PDFHTML

Papers citing "Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem"

3 / 3 papers shown
Generalized AdaGrad (G-AdaGrad) and Adam: A State-Space Perspective
Generalized AdaGrad (G-AdaGrad) and Adam: A State-Space PerspectiveIEEE Conference on Decision and Control (CDC), 2021
Kushal Chakrabarti
Nikhil Chopra
ODLAI4CE
230
11
0
31 May 2021
Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The
  Case of Distributed Linear Regression Problem
Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression ProblemIEEE Control Systems Letters (L-CSS), 2021
Kushal Chakrabarti
Nirupam Gupta
Nikhil Chopra
143
6
0
26 Jan 2021
Accelerating Distributed SGD for Linear Regression using Iterative
  Pre-Conditioning
Accelerating Distributed SGD for Linear Regression using Iterative Pre-ConditioningConference on Learning for Dynamics & Control (L4DC), 2020
Kushal Chakrabarti
Nirupam Gupta
Nikhil Chopra
304
3
0
15 Nov 2020
1
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