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Proximal Splitting Meets Variance Reduction.

, , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1-10. PMLR, (2019)

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On the Consistency of Ordinal Regression Methods., , and . J. Mach. Learn. Res., (2017)Proximal Splitting Meets Variance Reduction., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1-10. PMLR, (2019)Improved asynchronous parallel optimization analysis for stochastic incremental methods., , and . CoRR, (2018)On the interplay between noise and curvature and its effect on optimization and generalization., , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3503-3513. PMLR, (2020)Second-order regression models exhibit progressive sharpening to the edge of stability., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 169-195. PMLR, (2023)Acceleration through spectral density estimation., and . ICML, volume 119 of Proceedings of Machine Learning Research, page 7553-7562. PMLR, (2020)Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization., , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 7253-7262. PMLR, (2020)GradMax: Growing Neural Networks using Gradient Information., , , , and . ICLR, OpenReview.net, (2022)Scikit-learn: Machine Learning in Python. (2011)Frank-Wolfe Splitting via Augmented Lagrangian Method., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1456-1465. PMLR, (2018)