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Solving Optimization Problems Using Parallel and Grid Computing.. ENC, стр. 6. IEEE Computer Society, (2003)Newton-Like Methods for Sparse Inverse Covariance Estimation., , , и . NIPS, стр. 764-772. (2012)Numerical Experience with a Reduced Hessian Method for Large Scale Constrained Optimization., , , и . Comput. Optim. Appl., 15 (1): 45-67 (2000)A trust region method for noisy unconstrained optimization., и . Math. Program., 202 (1): 445-472 (ноября 2023)On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima, , , , и . (2016)cite arxiv:1609.04836Comment: Accepted as a conference paper at ICLR 2017.On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima., , , , и . ICLR, OpenReview.net, (2017)A Progressive Batching L-BFGS Method for Machine Learning., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 619-628. PMLR, (2018)Evaluation of Step Directions in Optimization Algorithms., и . ACM Trans. Math. Softw., 11 (1): 12-19 (1985)Analysis of the BFGS Method with Errors., , и . SIAM J. Optimization, 30 (1): 182-209 (2020)Sample size selection in optimization methods for machine learning., , , и . Math. Program., 134 (1): 127-155 (2012)