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Weighted Last-Step Min-Max Algorithm with Improved Sub-logarithmic Regret.

, and . ALT, volume 7568 of Lecture Notes in Computer Science, page 245-259. Springer, (2012)

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Continual Learning in Linear Classification on Separable Data., , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 9440-9484. PMLR, (2023)Finite Sample Analysis Of Dynamic Regression Parameter Learning., , , and . NeurIPS, (2022)Weighted last-step min-max algorithm with improved sub-logarithmic regret., and . Theor. Comput. Sci., (2014)Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy., , , , , and . NeurIPS, (2020)On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent., , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 468-477. PMLR, (2021)Efficient Loss-Based Decoding on Graphs for Extreme Classification., , and . NeurIPS, page 7233-7244. (2018)A Last-Step Regression Algorithm for Non-Stationary Online Learning., and . AISTATS, volume 31 of JMLR Workshop and Conference Proceedings, page 451-462. JMLR.org, (2013)Selective Sampling with Drift., and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 651-659. JMLR.org, (2014)Kernel and Rich Regimes in Overparametrized Models., , , , , , , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 3635-3673. PMLR, (2020)Online Regression with Controlled Label Noise Rate., and . ECML/PKDD (2), volume 10535 of Lecture Notes in Computer Science, page 355-369. Springer, (2017)