Photo of Jose Cribeiro

Who am I?

Statistician specialized in Probabilistic ML and Data Science, doing cool research @ KIT. If you want to know more about me, check out the About section ;).

Location: The Hilbert space (a.k.a. GΓΆttingen)

Keywords: RKHS, statistical tests, minimax optimization, contrastive learning, generative models.

Timeline

  1. 2026
  2. πŸ› 
    Reviewer for AISTATS 2027
  3. πŸ› 
    Reviewer for ICLR 2027
  4. arXiv preprint
    Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD

    Preprint

    Keywords: kernel discrepancies, minimax lower bound, unbounded kernels.

    Cite
    @TECHREPORT{cribeiro26kernel,
      AUTHOR =       {Jose Cribeiro-Ramallo and Florian Kalinke and Zolt{\'a}n Szab{\'o}},
      TITLE =        {Minimax Lower Bounds of Kernel Discrepancy Estimation: {MMD}, {HSIC}, {KSD}},
      YEAR =         {2026},
      note =         {(\url{https://arxiv.org/abs/2607.24235})},
    }
  5. 🎀
    Invited Talk at UC3M, Madrid

    Department of Signal Theory & Communications, UC3M

  6. πŸ“„
    The Minimax Lower Bound of Kernel Stein Discrepancy Estimation

    AISTATS 2026

    Keywords: KSD, minimax lower bound, unbounded kernels.

    Cite
    @INPROCEEDINGS{cribeiro26minimax,
      AUTHOR =       {Jose Cribeiro-Ramallo and Agnideep Aich and Florian Kalinke and Ashit Baran Aich and Zolt{\'a}n Szab{\'o}},
      TITLE =        {The Minimax Lower Bound of Kernel {S}tein Discrepancy Estimation},
      BOOKTITLE =    {International Conference on Artificial Intelligence and Statistics (AISTATS)},
      YEAR =         {2026},
      pages =        {901--909},
    }
  7. πŸ› 
    Reviewer for NeurIPS 2026
  8. 2025
  9. πŸ› 
    Reviewer for AISTATS 2026
  10. πŸ› 
    Reviewer for ICLR 2026
  11. πŸ“„
    Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data

    Transactions on Machine Learning Research (TMLR)

    Keywords: generative models, RKHS, operator learning, outlier detection, subspace selection

    Cite
    @ARTICLE{cribeiro25adversarial,
      AUTHOR =       {Jose Cribeiro-Ramallo and Federico Matteucci and Paul Enciu and Alexander Jenke and Vadim Arzamasov and Thorsten Strufe and Klemens B{\"o}hm},
      TITLE =        {Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data},
      JOURNAL =      {Transactions on Machine Learning Research},
      YEAR =         {2025},
    }
  12. 2024
  13. πŸ“„
    Efficient Generation of Hidden Outliers for Improved Outlier Detection

    ACM Transactions on Knowledge Discovery from Data (TKDD), 18(9)

    Keywords: outlier generation, self-supervised learning, outlier detection

    Cite
    @ARTICLE{cribeiro24hidden,
      AUTHOR =       {Jose Cribeiro-Ramallo and Vadim Arzamasov and Klemens B{\"o}hm},
      TITLE =        {Efficient Generation of Hidden Outliers for Improved Outlier Detection},
      JOURNAL =      {ACM Transactions on Knowledge Discovery from Data},
      YEAR =         {2024},
      volume =       {18},
      number =       {9},
      pages =        {1--21},
    }
  14. πŸ› 
    Reviewer for ICLR 2025
  15. arXiv preprint
    Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data

    Preprint

    Cite
    @TECHREPORT{cribeiro24gsaal,
      AUTHOR =       {Jose Cribeiro-Ramallo and Vadim Arzamasov and Federico Matteucci and Denis Wambold and Klemens B{\"o}hm},
      TITLE =        {Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data},
      YEAR =         {2024},
      note =         {(\url{https://arxiv.org/abs/2404.14451})},
    }