Hubert Baniecki

Faculty of Mathematics and Information ScienceWarsaw University of Technology

find me @hbaniecki

I’m an MSc student in Data Science at Warsaw University of Technology; working in the MI² research lab led by Przemysław Biecek.

My research interests include explainable machine learning, responsibility, evaluation and adversarial attacks.

Developing and maintaining open-source Python & R packages used for explainability of predictive models.


news [archive]

2022-Mar Received the Minister’s (of Education and Science, Poland) scholarship for students for significant scientific achievements.
2022-Jan dalex received the John M. Chambers Statistical Software Award combined with my invited talk at the 2022 Joint Statistical Meetings, Washington DC, USA.
2021-Oct new paper
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
Accepted for publication at the AAAI Conference on Artificial Intelligence (AAAI-22).
2021-Sep new paper
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
Accepted for publication in the Journal of Machine Learning Research (JMLR).
2021-May Contributing to the useR! 2021 conference with a talk Open the Machine Learning Black-Box with modelStudio & Arena, and through a workshop Introduction to Responsible Machine Learning.

highlights

  1. JMLR MLOSS
    dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
    H. Baniecki, W. Kretowicz, P. Piatyszek, J. Wisniewski, and P. Biecek
    Journal of Machine Learning Research (JMLR), 2021
  2. AAAI SA
    Responsible Prediction Making of COVID-19 Mortality (Student Abstract)
    H. Baniecki, and P. Biecek
    In AAAI Conference on Artificial Intelligence (AAAI), 2021
  1. arXiv BSc
    Fooling Partial Dependence via Data Poisoning
    H. Baniecki, W. Kretowicz, and P. Biecek
    This manuscript is the core of our BSc thesis at WUoT. arXiv:2105.12837, 2021