Long-Tail Theory Under Gaussian Mixtures

Arman Bolatov, Maxat Tezekbayev, Igor Melnykov, Artur Pak, Vassilina Nikoulina, Zhenisbek Assylbekov. Long-Tail Theory Under Gaussian Mixtures. In Kobi Gal, Ann Nowé, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu, editors, ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023). Volume 372 of Frontiers in Artificial Intelligence and Applications, pages 109-116, IOS Press, 2023. [doi]

@inproceedings{BolatovTMPNA23,
  title = {Long-Tail Theory Under Gaussian Mixtures},
  author = {Arman Bolatov and Maxat Tezekbayev and Igor Melnykov and Artur Pak and Vassilina Nikoulina and Zhenisbek Assylbekov},
  year = {2023},
  doi = {10.3233/FAIA230260},
  url = {https://doi.org/10.3233/FAIA230260},
  researchr = {https://researchr.org/publication/BolatovTMPNA23},
  cites = {0},
  citedby = {0},
  pages = {109-116},
  booktitle = {ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023)},
  editor = {Kobi Gal and Ann Nowé and Grzegorz J. Nalepa and Roy Fairstein and Roxana Radulescu},
  volume = {372},
  series = {Frontiers in Artificial Intelligence and Applications},
  publisher = {IOS Press},
  isbn = {978-1-64368-437-6},
}