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20142022
most citedRank-based Lasso -- efficient methods for high-dimensional robust model selection

6 citations · 14 across the 10 of their papers we have counts for

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stat.ME2022

Improving Group Lasso for high-dimensional categorical data

Szymon Nowakowski, Piotr Pokarowski, Wojciech Rejchel +1

Sparse modelling or model selection with categorical data is challenging even for a moderate number of variables, because one parameter is roughly needed to encode one category or…

stat.ML2022★ 2 cited

Double logistic regression approach to biased positive-unlabeled data

Konrad Furmańczyk, Jan Mielniczuk, Wojciech Rejchel +1

Positive and unlabelled learning is an important problem which arises naturally in many applications. The significant limitation of almost all existing methods lies in assuming tha…