@Article{MMD,
  title={Universal robust regression via maximum mean discrepancy},
  author={Alquier, Pierre and Gerber, Mathieu},
  journal={Biometrika},
  year={2024},
  pages={71-92},
  volume={111},
  number={1}
}

@Article{MMD-package,
  title={regMMD: a package for parametric estimation and regression with maximum mean discrepancy},
  author={Alquier, Pierre and Gerber, Mathieu},
  journal={Computo},
  year={2025}
}

@article{briol2019statistical,
  title={Statistical inference for generative models with maximum mean discrepancy},
  author={Briol, Francois-Xavier and Barp, Alessandro and Duncan, Andrew B and Girolami, Mark},
  journal={arXiv preprint arXiv:1906.05944},
  year={2019}
}

@Article{MMD2,
  title={Finite Sample Properties of Parametric {MMD} Estimation: Robustness to Misspecification and Dependence},
  author={Ch\'{e}rief-Abdellatif, Badr-Eddine and Alquier, Pierre},
  journal={Bernoulli},
  year={2022},
  pages={181-213},
  volume={28},
  number={1}
}

@Article{duchi2011adaptive,
  title={Adaptive subgradient methods for online learning and stochastic optimization},
  author={Duchi, John and Hazan, Elad and Singer, Yoram},
  journal={Journal of machine learning research},
  volume={12},
  pages={2121-2159},
  number={7},
  year={2011}
}

@Article{garreau2017large,
  title={Large sample analysis of the median heuristic},
  author={Garreau, Damien and Jitkrittum, Wittawat and Kanagawa, Motonobu},
  journal={arXiv preprint arXiv:1707.07269},
  year={2017}
}
