This package contains a MATLAB implementation of the algorithm presented in the report "A Dual Framework for Trace Norm Regularized Low-rank Tensor Completion" by Madhav Nimishakavi, Pratik Jawanpuria, and Bamdev Mishra; NeurIPS, 2018.
For queries and other related issues, please contact Pratik Jawanpuria (pratik.iitb@gmail.com) or Bamdev Mishra (bamdevm@gmail.com).
- Run run_me_first.m (needed every session).
- Run compile_mex_c_files.m (needed to be done only once).
- Run test_Ribeira.m. There are plots at the end.
The proposed files are under the folder 'proposed'.
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All files are written by the authors except
- certain initial mex files were obtained from the works of Nicolas Boumal (nicolasboumal@gmail.com) and (michael.steinlechner@epfl.ch).
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Manopt is downloaded from http://manopt.org.
Please cite the following work if you find the resources in this repository useful.
Madhav Nimishakavi, Pratik Jawanpuria, and Bamdev Mishra. A Dual Framework for Trace Norm Regularized Low-rank Tensor Completion. In Conference on Neural Information Processing Systems (NeurIPS), 2018.
@inproceedings{nimishakavi18,
title={A Dual Framework for Trace Norm Regularized Low-rank Tensor Completion},
author={Nimishakavi, Madhav and Jawanpuria, Pratik and Mishra, Bamdev},
booktitle={Conference on Neural Information Processing Systems (NeurIPS)},
year={2018}
}
(c) 2017-2018 Madhav Nimishakavi (madhav@iisc.ac.in), Pratik Jawanpuria (pratik.iitb@gmail.com), and Bamdev Mishra (bamdevm@gmail.com).