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HiddeFok/README.md

Hi there 👋

I am a Researcher in Machine Learning and AI and recently obtained my PhD, supervised by dr. Tim van Erven. My main topic of research is Mathematical Machine Learing, with a focus on developping formal methods and guarentees in the field of interpretable machine learning/explainable artificial intelligence. Furthermore, I also am interested in Optimisation, Online Learning, Bandit algorithms and Causality.

Now that I am finished with my PhD and after having done theoretical research, I am excited about actually implementing ML algorithms. Currently, I am working on writing multiple repositories that contain some of the algorithms I find interesting from ML theory papers. The goal is to write user-friendly interfaces, with clear documentation and insightfull examples.

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  1. personal-website-react personal-website-react Public

    TypeScript

  2. CLI_speed_skating_tracker CLI_speed_skating_tracker Public

    Python 1

  3. recourse-robust-explanations-impossible recourse-robust-explanations-impossible Public

    Python 1

  4. sample-efficient-learning-of-concepts sample-efficient-learning-of-concepts Public

    Code repository for the paper titled "Sample-Efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without interventions"

    Python 1