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Short description of portfolio item number 1
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
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
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
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Talk about generalized convolutions. Conference website
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Poster about modeling air pollution data using Extreme Value Theory. Conference website
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A talk on Wiener-Hopf factorization for Kendall random walks. Conference website
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A talk on fluctuations of Kendall random walks. Conference website
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Lightning talk about visualization of PISA results. Conference website
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Poster about Kendall random walk (with B. Jasiulis-Gołdyn, K. Łukaszewicz, W. Szczotka, M. Arendarczyk)
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A talk on local interpretability of machine learning models at a IL-BALDS group workshop. Symposium website
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A talk on Kendall random walks. Conference website
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Talk on Kendall random walks. Conference website
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A talk on local interpretability of machine learning models. Conference website
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Talk on methods and tools for interpretable machine learning. Information about the event
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Poster about methods of explaining a single prediction generated by a machine learning model (with M. Kuźba and P. Biecek). Conference website
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Talk on interpretable features in local machine learning models explanations. Conference website
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Talk about interpretable features for explanations of machine learning models. Information about the seminar
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Talk on interpretable features for local explanations of machine learning models. Conference website
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Talk about R packages for automated data exploration. Conference website
Undergraduate course, Warsaw University of Technology, Faculty of Mathematics and Information Sciences, 2018
Undergraduate course, Warsaw University of Technology, Faculty of Mathematics and Information Sciences, 2019
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).
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).
Undergraduate course, University of Wrocław, Faculty of Mathematics and Computer Science, 2020
Lab for Małgorzata Bogdan’s lecture.