Online Probabilistic Metric Embedding: A General Framework for Bypassing Inherent Bounds - researchr publication authors

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Yair Bartal, Nova Fandina, Seeun William Umboh. Online Probabilistic Metric Embedding: A General Framework for Bypassing Inherent Bounds. In Shuchi Chawla 0001, editor, Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, SODA 2020, Salt Lake City, UT, USA, January 5-8, 2020. pages 1538-1557, SIAM, 2020. [doi]

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