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Event sequences can be modeled by temporal point processes (TPPs) to capture their asynchronous and probabilistic nature.
Spectra of some self-exciting and mutually exciting point processes
Alan G Hawkes · 1971
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A self-correcting point process
Valerie Isham and Mark Westcott · 1979
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Poisson Processes
J.F.C. Kingman · 1992
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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An introduction to the theory of point processes: volume II: general theory and structure
Daryl J Daley and David Vere-Jones · 2007
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NICE: Non-linear independent components estimation
Laurent Dinh, David Krueger, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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Danilo Rezende and Shakir Mohamed · 2015
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Recurrent marked temporal point processes: Embedding event history to vector
Nan Du, Hanjun Dai, Rakshit Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, and Le Song · 2016
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Learning temporal point processes via reinforcement learning
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Beyond finite layer neural networks: Bridging deep architectures and numerical differential equations
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Learning conditional generative models for temporal point processes
Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, and Hongyuan Zha · 2018
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