Randomized Methods for Computing Optimal Transport Without Regularization and Their Convergence Analysis

Author:

Xie Yue,Wang ZhongjianORCID,Zhang Zhiwen

Funder

Guangdong Province Fundamental and Applied Fundamental Research Regional Joint Fund

HKU-IDS

Hong Kong RGC

NSFC

HKU-SCF FinTech Academy

HKU

Publisher

Springer Science and Business Media LLC

Reference69 articles.

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2. Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein generative adversarial networks. In: International Conference on Machine Learning, pp. 214–223. PMLR (2017)

3. Beck, A.: The 2-coordinate descent method for solving double-sided simplex constrained minimization problems. J. Optim. Theory Appl. 162(3), 892–919 (2014)

4. Beck, A., Tetruashvili, L.: On the convergence of block coordinate descent type methods. SIAM J. Optim. 23(4), 2037–2060 (2013)

5. Benamou, J., Brenier, Y.: A computational fluid mechanics solution to the Monge–Kantorovich mass transfer problem. Numer. Math. 84(3), 375–393 (2000)

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