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On Accelerating Distributed Convex Optimizations


Aug 19, 2021
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra


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Generalized AdaGrad (G-AdaGrad) and Adam: A State-Space Perspective


May 31, 2021
Kushal Chakrabarti, Nikhil Chopra


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Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem


Jan 26, 2021
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra

* in IEEE Control Systems Letters. Related articles: arXiv:2003.07180v2 [math.OC], arXiv:2008.02856v1 [math.OC], and arXiv:2011.07595v2 [math.OC] 

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Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning


Nov 28, 2020
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra

* Changes in the replacement: Application to distributed state estimation problem has been added in Appendix B. Related articles: arXiv:2003.07180v2 [math.OC] and arXiv:2008.02856v1 [math.OC] 

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Adaptive Tracking Control of Soft Robots using Integrated Sensing Skin and Recurrent Neural Networks


Nov 17, 2020
Lasitha Weerakoon, Zepeng Ye, Rahul Subramonian Bama, Elisabeth Smela, Miao Yu, Nikhil Chopra

* Preprint submitted to ICRA 2021: International Conference on Robotics and Automation 

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Accelerating Distributed SGD for Linear Least-Squares Problem


Nov 15, 2020
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra


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


Aug 06, 2020
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra


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Iterative Pre-Conditioning to Expedite the Gradient-Descent Method


Mar 29, 2020
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra

* Accepted for the proceedings of the 2020 American Control Conference 

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