Meta Learning with Relational Information for Short Sequences

NeurIPS 2019 Yujia XieHaoming JiangFeng LiuTuo ZhaoHongyuan Zha

This paper proposes a new meta-learning method -- named HARMLESS (HAwkes Relational Meta LEarning method for Short Sequences) for learning heterogeneous point process models from short event sequence data along with a relational network. Specifically, we propose a hierarchical Bayesian mixture Hawkes process model, which naturally incorporates the relational information among sequences into point process modeling... (read more)

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