Ran Levinstein, Amit Attia, Matan Schliserman, Uri Sherman, Daniel Soudry, Tomer Koren, Itay Evron. Optimal Rates in Continual Linear Regression via Increasing Regularization. In Danielle Belgrave, Cheng Zhang 0005, Laura N. Montoya, Hsuan-Tien Lin, Razvan Pascanu, Piotr Koniusz, Marzyeh Ghassemi, Nancy Chen, Iván Vladimir Meza Ruíz, Arturo Loaiza-Bonilla, editors, Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diago, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025. 2025. [doi]
@inproceedings{LevinsteinASSSK25,
title = {Optimal Rates in Continual Linear Regression via Increasing Regularization},
author = {Ran Levinstein and Amit Attia and Matan Schliserman and Uri Sherman and Daniel Soudry and Tomer Koren and Itay Evron},
year = {2025},
url = {http://papers.nips.cc/paper_files/paper/2025/hash/5712575413bb58ae6c7a17aa4f2d64a2-Abstract-Conference.html},
researchr = {https://researchr.org/publication/LevinsteinASSSK25},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diago, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025},
editor = {Danielle Belgrave and Cheng Zhang 0005 and Laura N. Montoya and Hsuan-Tien Lin and Razvan Pascanu and Piotr Koniusz and Marzyeh Ghassemi and Nancy Chen and Iván Vladimir Meza Ruíz and Arturo Loaiza-Bonilla},
}