Distribution-free uncertainty quantification for kernel methods by gradient perturbations

Balázs Csanád Csáji, Krisztián Balázs Kis. Distribution-free uncertainty quantification for kernel methods by gradient perturbations. Machine Learning, 108(8-9):1677-1699, 2019. [doi]

@article{CsajiK19,
  title = {Distribution-free uncertainty quantification for kernel methods by gradient perturbations},
  author = {Balázs Csanád Csáji and Krisztián Balázs Kis},
  year = {2019},
  doi = {10.1007/s10994-019-05822-1},
  url = {https://doi.org/10.1007/s10994-019-05822-1},
  researchr = {https://researchr.org/publication/CsajiK19},
  cites = {0},
  citedby = {0},
  journal = {Machine Learning},
  volume = {108},
  number = {8-9},
  pages = {1677-1699},
}