Low-rank regularization and solution uniqueness in over-parameterized matrix sensing. Geyer, K., Kyrillidis, A., & Kalev, A. In Chiappa, S. & Calandra, R., editors, Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, volume 108, of Proceedings of Machine Learning Research, pages 930–940, 26–28 Aug, 2020. PMLR. bibtex @InProceedings{pmlr-v108-geyer20a,
title = {Low-rank regularization and solution uniqueness in over-parameterized matrix sensing},
author = {Geyer, Kelly and Kyrillidis, Anastasios and Kalev, Amir},
booktitle = {Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics},
pages = {930--940},
year = {2020},
editor = {Silvia Chiappa and Roberto Calandra},
volume = {108},
series = {Proceedings of Machine Learning Research},
month = {26--28 Aug},
publisher = {PMLR},
}
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