Portfolio item number 1
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Posts by Collection
portfolio
publications
Explanations of Model Predictions with live and breakDown Packages
Published in The R Journal, 2018
Paper on local interpretability of machine learning model
Recommended citation: Mateusz Staniak and Przemysław Biecek, "Explanations of Model Predictions with live and breakDown Packages", The R Journal (2018) 10:2, pages 395-409. https://journal.r-project.org/archive/2018/RJ-2018-072/RJ-2018-072.pdf
Fluctuations of extremal Markov chains of the Kendall type
Published in Arxiv preprint, 2019
Abstract: The paper deals with fluctuations of Kendall random walks, which are extremal Markov chains. We give the joint distribution of the first ascending ladder epoch and height over any level a >= 0 and distribution of maximum and minimum for these extremal Markovian sequences. We show that distribution of the first crossing time of level a > 0 is a mixture of geometric and negative binomial distributions. The Williamson transform is the main tool for considered problems connected with the Kendall convolution.
Recommended citation: B.H. Jasiulis-Gołdyn, M. Staniak, "Fluctuations of extremal Markov chains of the Kendall type", arxiv e-print, 2019. https://arxiv.org/abs/1902.00576
The Landscape of R Packages for Automated Exploratory Data Analysis
Published in The R Journal, 2019
A review of R packages for automated data exploration
Recommended citation: Mateusz Staniak and Przemysław Biecek, "The Landscape of R Packages for Automated Exploratory Data Analysis", The R Journal (2019). https://journal.r-project.org/archive/2019/RJ-2019-033/index.html
talks
Generalized convolutions in probability theory
Published:
Talk about generalized convolutions. Conference website
Extreme Value Theory for air pollution modeling: Wrocław example
Published:
Poster about modeling air pollution data using Extreme Value Theory. Conference website
Wiener-Hopf factorization for extremal Markovian sequences connected with the Kendall convolution
Published:
A talk on Wiener-Hopf factorization for Kendall random walks. Conference website
Fluctuations of Kendall random walks
Published:
A talk on fluctuations of Kendall random walks. Conference website
Parents’ professions vs child’s education - visualizing PISA study results
Published:
Lightning talk about visualization of PISA results. Conference website
Kendall Random Walks
Published:
Poster about Kendall random walk (with B. Jasiulis-Gołdyn, K. Łukaszewicz, W. Szczotka, M. Arendarczyk)
Local interpretability of machine learning models
Published:
A talk on local interpretability of machine learning models at a IL-BALDS group workshop. Symposium website
Spitzer identity for Kendall random walk
Published:
A talk on Kendall random walks. Conference website
Spitzer identity for Kendall random walk
Published:
Talk on Kendall random walks. Conference website
Local Interpretability of Machine Learning Models
Published:
A talk on local interpretability of machine learning models. Conference website
DALEX: Descriptive mAchine Learning EXplanations. Tools for exploration, validation and explanation of complex machine learning models
Published:
Talk on methods and tools for interpretable machine learning. Information about the event
Local Explanations of Complex Machine Learning Models
Published:
Poster about methods of explaining a single prediction generated by a machine learning model (with M. Kuźba and P. Biecek). Conference website
In Search of Interpretable Features to Explain Decisions of Black Box Models
Published:
Talk on interpretable features in local machine learning models explanations. Conference website
Interpretable Features for Local Explanations of Machine Learning Models
Published:
Talk about interpretable features for explanations of machine learning models. Information about the seminar
Interpretable features for explaining machine learning models
Published:
Talk on interpretable features for local explanations of machine learning models. Conference website
R Tools for Automated Exploratory Data Analysis
Published:
Talk about R packages for automated data exploration. Conference website
teaching
Computer Statistics Lab
Undergraduate course, Warsaw University of Technology, Faculty of Mathematics and Information Sciences, 2018
Introduction to Machine Learning Lab
Undergraduate course, Warsaw University of Technology, Faculty of Mathematics and Information Sciences, 2019
Programming and data analysis in R
Undergraduate course, University of Wrocław, Faculty of Mathematics and Computer Science, 2019
My introductory lab about programming and data wrangling + visualization in R (in polish).
Software development with R
Undergraduate course / graduate course, University of Wrocław, Faculty of Mathematics and Computer Science, 2020
My course on topics related to software engineering with R (in polish).
Analysis of Large Data Sets
Undergraduate course, University of Wrocław, Faculty of Mathematics and Computer Science, 2020
Lab for Małgorzata Bogdan’s lecture.