BibTeX record journals/ml/VerhelstMSB24

download as .bib file

@article{DBLP:journals/ml/VerhelstMSB24,
  author       = {Th{\'{e}}o Verhelst and
                  Denis Mercier and
                  Jeevan Shrestha and
                  Gianluca Bontempi},
  title        = {Partial counterfactual identification and uplift modeling: theoretical
                  results and real-world assessment},
  journal      = {Mach. Learn.},
  volume       = {113},
  number       = {3},
  pages        = {1043--1067},
  year         = {2024},
  url          = {https://doi.org/10.1007/s10994-023-06317-w},
  doi          = {10.1007/S10994-023-06317-W},
  timestamp    = {Fri, 22 Mar 2024 09:05:21 +0100},
  biburl       = {https://dblp.org/rec/journals/ml/VerhelstMSB24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.