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Linearization Algorithms for Fully Composite Optimization.

, , , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 3669-3695. PMLR, (2023)

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Convex optimization based on global lower second-order models., and . NeurIPS, (2020)Inexact Tensor Methods with Dynamic Accuracies., and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2577-2586. PMLR, (2020)Linearization Algorithms for Fully Composite Optimization., , , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 3669-3695. PMLR, (2023)Second-Order Optimization with Lazy Hessians., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 8138-8161. PMLR, (2023)On Convergence of Incremental Gradient for Non-convex Smooth Functions., , , and . ICML, OpenReview.net, (2024)Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions., , and . ICML, OpenReview.net, (2024)Randomized Block Cubic Newton Method., and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1289-1297. PMLR, (2018)Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods., , and . CoRR, (2023)Super-Universal Regularized Newton Method., , and . CoRR, (2022)Minimizing Uniformly Convex Functions by Cubic Regularization of Newton Method., and . J. Optim. Theory Appl., 189 (1): 317-339 (2021)