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)