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A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users

arXiv 2501.02961 ↗First posted 6 Jan 2025stat.ML cs.LGcited by 0

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Abstract (arXiv)

This paper provides a formalism for an important class of causal inference problems inspired by user-advertiser interaction in online advertiser. Then this formalism is specialized to an extension of temporal marked point processes and the neural point processes are suggested as practical solutions to some interesting special cases.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). First posted on arXiv 6 Jan 2025.

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