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

Machine Learning 2025-01-07 v1 Machine Learning

Abstract

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.

Keywords

Cite

@article{arxiv.2501.02961,
  title  = {A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users},
  author = {Alexander Merkov and David Rohde},
  journal= {arXiv preprint arXiv:2501.02961},
  year   = {2025}
}

Comments

13 pages

R2 v1 2026-06-28T20:57:29.530Z