RankNEAT: outperforming stochastic gradient search in preference learning tasks

Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis. RankNEAT: outperforming stochastic gradient search in preference learning tasks. In Jonathan E. Fieldsend, Markus Wagner 0007, editors, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022. pages 1084-1092, ACM, 2022. [doi]

@inproceedings{PinitasMLY22,
  title = {RankNEAT: outperforming stochastic gradient search in preference learning tasks},
  author = {Kosmas Pinitas and Konstantinos Makantasis and Antonios Liapis and Georgios N. Yannakakis},
  year = {2022},
  doi = {10.1145/3512290.3528744},
  url = {https://doi.org/10.1145/3512290.3528744},
  researchr = {https://researchr.org/publication/PinitasMLY22},
  cites = {0},
  citedby = {0},
  pages = {1084-1092},
  booktitle = {GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022},
  editor = {Jonathan E. Fieldsend and Markus Wagner 0007},
  publisher = {ACM},
  isbn = {978-1-4503-9237-2},
}