Funder
Postdoctoral Research Foundation of China
Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science
Reference68 articles.
1. Antoniadis, A., Gijbels, I., Nikolova, M.: Penalized likelihood regression for generalized linear models with non-quadratic penalties. Ann. Inst. Stat. Math. 63, 585–615 (2011)
2. Asi, H., Duchi, J.C.: Stochastic (approximate) proximal point methods: convergence, optimality, and adaptivity. SIAM J. Optim. 29, 2257–2290 (2019)
3. Bach, F.: Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression. J. Mach. Learn. Res. 15, 595–627 (2014)
4. Baker, J., Fearnhead, P., Fox, E.B., Nemeth, C.: Control variates for stochastic gradient mcmc. Stat. Comput. 29, 599–615 (2019)
5. Barzilai, J., Borwein, J.M.: Two-point step size gradient methods. IMA J. Numer. Anal. 8, 141–148 (1988)
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