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 ;).

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

Timeline

  1. 2026
  2. arXiv preprint
    Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD

    Preprint

    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})},
    }
  3. 📄
    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},
    }
  4. 2025
  5. 📄
    Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data

    Transactions on Machine Learning Research (TMLR) 2025

    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},
    }
  6. 2024
  7. 📄
    Efficient Generation of Hidden Outliers for Improved Outlier Detection

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

    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},
    }
  8. 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})},
    }
  9. 2022