1. Ackermann, M.R., Blömer, J.: Coresets and approximate clustering for bregman divergences. In: Proceedings of the Twentieth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1088–1097. SODA ’09, Society for Industrial and Applied Mathematics, USA (2009)
2. Banerjee, A., Merugu, S., Dhillon, I.S., Ghosh, J.: Clustering with bregman divergences. J. Mach. Learn. Res. 6(58), 1705–1749 (2005)
3. Charlin, L., Zemel, R.: The toronto paper matching system: an automated paper-reviewer assignment system. In: 30 th International Conference on Machine Learning, vol. 28. JMLR (2013)
4. Cohan, A., Dernoncourt, F., Kim, D.S., Bui, T., Kim, S., Chang, W., Goharian, N.: A discourse-aware attention model for abstractive summarization of long documents (2018)
5. ConfMaster. https://www.confmaster.net