Amanjit Singh Kainth1,2, Ting-Kam Leonard Wong3, Frank Rudzicz1,2

  • 1Department of Computer Science, University of Toronto, Toronto, Canada.

Information geometry
|January 1, 2024
PubMed
概括

我们介绍了 conformal mirror descent,一种新的算法,可以扩展布雷格曼分歧,以获得最佳的运输和凸的二元性. 这种方法为通用指数家族的连续时间优化和在线估计提供了新的见解.

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