Approximating BP Maximization with Distorted-Based Strategy

Author:

Yang Ruiqi,Gao Suixiang,Han Lu,Li Gaidi,Zhao Zhongrui

Publisher

Springer International Publishing

Reference15 articles.

1. Badanidiyuru, A., Mirzasoleiman, B., Karbasi, A., Krause, A.: Streaming submodular maximization: massive data summarization on the fly. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 671–680 (2014)

2. Bai, W., Bilmes, J.: Greed is still good: maximizing monotone submodular+supermodular (BP) functions. In: Proceedings of the 35th International Conference on Machine Learning, vol. 80, pp. 304–313 (2018)

3. Bogunovic, I., Mitrović, S., Scarlett, J., Cevher, V.: Robust submodular maximization: a non-uniform partitioning approach. In: Proceedings of the 34th International Conference on Machine Learning, vol. 70, pp. 508–516 (2017)

4. Buchbinder, N., Feldman, M., Schwartz, R.: Online submodular maximization with preemption. In: Proceedings of the 26th Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1202–1216 (2015)

5. Liu, Z., Chen, L., Chang, H., Du, D., Zhang, X.: Online algorithms for BP functions maximization. Theoret. Comput. Sci. 858, 114–121 (2021)

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