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Mar, 2020
聚合数据推理:一种最优传输方法
Inference with Aggregate Data: An Optimal Transport Approach
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Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen
TL;DR
本文提出了一种新的高效置信传播算法 Sinkhorn belief propagation (SBP),用于基于大量个体生成的聚合数据的概率图模型的推断问题。该算法基于最优传输理论并具有全局收敛保证,特别适用于隐马尔可夫模型的情况。
Abstract
We consider inference problems over
probabilistic graphical models
with aggregate data. In particular, we propose a new efficient
belief propagation
type algorithm over tree-structured graphs with polynomial comp
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