Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics,Control and Optimization
Reference48 articles.
1. Balasubramanian, K., Ghadimi, S., Nguyen, A.: Stochastic multi-level composition optimization algorithms with levelindependent convergence rates. SIAM J. Optim. 32, 519–544 (2022)
2. Bianchi, P., Fort, G., Hachem, W.: Performance of a distributed stochastic approximation algorithm. IEEE Trans. Inf. Theory 59, 7405–7418 (2013)
3. Chen, T., Sun, Y., Yin, W.: Solving stochastic compositional optimization is nearly as easy as solving stochastic optimization. IEEE Trans. Signal Process. 69, 4937–4948 (2021)
4. Chung, K.L.: On a stochastic approximation method. Ann. Math. Stat. 25, 463–483 (1954)
5. Dai, B., He, N., Pan, Y., Boots, B., Song, L.: Learning from Conditional Distributions via Dual Embeddings. In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, vol. 54, PMLR, pp. 1458–1467 (2017)
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