A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users
Fuente:
arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912178264604672 |
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| author | Merkov, Alexander Rohde, David |
| author_facet | Merkov, Alexander Rohde, David |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_02961 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users Merkov, Alexander Rohde, David Machine Learning 62M45 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. |
| title | A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users |
| topic | Machine Learning 62M45 |
| url | https://arxiv.org/abs/2501.02961 |