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Anil Aswani

Accelerated Nonnegative Tensor Completion via Integer Programming

Nov 28, 2022
Wenhao Pan, Anil Aswani, Chen Chen

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* 18 pages. Abstract has been accepted by Frontiers in Applied Mathematics and Statistics. Full manuscript is to be submitted

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Learning from learning machines: a new generation of AI technology to meet the needs of science

Nov 27, 2021
Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus Zwart, Neeraj Kumar, Amy Justice, Claire Tomlin, Daniel Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Ken Kreutz-Delgado, Michael W. Mahoney, James B. Brown

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Nonnegative Tensor Completion via Integer Optimization

Nov 08, 2021
Caleb Bugg, Chen Chen, Anil Aswani

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Regret Analysis of Learning-Based MPC with Partially-Unknown Cost Function

Aug 04, 2021
Ilgin Dogan, Zuo-Jun Max Shen, Anil Aswani

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* 24 pages, 3 figures

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Convex Formulations for Fair Principal Component Analysis

Nov 02, 2018
Matt Olfat, Anil Aswani

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Average Margin Regularization for Classifiers

Oct 14, 2018
Matt Olfat, Anil Aswani

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