Learning Conditional Generative Models for Temporal Point Processes | Zendy

Shuai Xiao | Zendy; Hongteng Xu | Zendy; Junchi Yan | Zendy; Mehrdad Farajtabar | Zendy; Xiaokang Yang | Zendy; Le Song | Zendy; Hongyuan Zha | Zendy

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Learning Conditional Generative Models for Temporal Point Processes

Author(s) -

Shuai Xiao,

Hongteng Xu,

Junchi Yan,

Mehrdad Farajtabar,

Xiaokang Yang,

Le Song,

Hongyuan Zha

Publication year - 2018

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - English

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v32i1.12072

Subject(s) - computer science , point process , parametric statistics , sequence (biology) , parametric model , generative model , novelty , algorithm , artificial intelligence , divergence (linguistics) , margin (machine learning) , flexibility (engineering) , event (particle physics) , process (computing) , point (geometry) , novelty detection , machine learning , generative grammar , mathematics , statistics , philosophy , genetics , linguistics , theology , physics , geometry , quantum mechanics , biology , operating system

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