Funder
Directorate for Mathematical and Physical Sciences
Division of Computing and Communication Foundations
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics,Software
Reference68 articles.
1. Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M. et al.: Tensorflow: large-scale machine learning on heterogeneous systems, 2015. Software available from tensorflow.org 1(2) (2015)
2. Ahmed, A., Recht, B., Romberg, J.: Blind deconvolution using convex programming. IEEE Trans. Inf. Theory 60(3), 1711–1732 (2014)
3. Asi, H., Duchi, J.C.: Stochastic (approximate) proximal point methods: Convergence, optimality, and adaptivity. arXiv preprint arXiv:1810.05633 (2018)
4. Asi, H., Duchi, J.C.: The importance of better models in stochastic optimization. arXiv preprint arXiv:1903.08619 (2019)
5. Aybat, N.S., Fallah, A., Gurbuzbalaban, M., Ozdaglar, A.: A universally optimal multistage accelerated stochastic gradient method. arXiv preprint arXiv:1901.08022 (2019)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献