| Pattern recovery and signal denoising by SLOPE when the design matrix is orthogonal T Skalski, P Graczyk, B Kołodziejek, M Wilczyński arXiv preprint arXiv:2202.08573, 2022 | 12 | 2022 |
| Pattern recovery by SLOPE M Bogdan, X Dupuis, P Graczyk, B Kołodziejek, T Skalski, P Tardivel, ... arXiv preprint arXiv:2203.12086, 2022 | 10 | 2022 |
| Maximum likelihood estimation for discrete exponential families and random graphs K Bogdan, M Bosy, T Skalski arXiv preprint arXiv:1911.13143, 2019 | 6 | 2019 |
| Pattern recovery in penalized and thresholded estimation and its geometry P Graczyk, U Schneider, T Skalski, P Tardivel arXiv preprint arXiv:2307.10158, 2023 | 5 | 2023 |
| The geometry of model recovery by penalized and thresholded estimators PJC Tardivel, T Skalski, P Graczyk, U Schneider | 5 | 2021 |
| Remarks on Laplacian of graphical models in various graphs T Skalski Geometric Science of Information: 5th International Conference, GSI 2021 …, 2021 | 2 | 2021 |
| Aspects Géométriques et Combinatoires de Modeles Statistiques T Skalski Angers, 2023 | 1 | 2023 |
| Geometric and Combinatorial Aspects of Statistical Models T Skalski Université d'Angers; Politechnika Wrocławska, 2023 | | 2023 |
| Pattern Recovery in Penalized Estimation and its Geometry P Graczyk, U Schneider, T Skalski, P Tardivel # PLACEHOLDER_PARENT_METADATA_VALUE#, 223-223, 2023 | | 2023 |
| On LASSO and SLOPE estimators and their pattern recovery T Skalski Mathematical optimization and statistical theories using geometric methods, 2022 | | 2022 |
| ROOT SYSTEMS IN MODERN STATISTIC T Skalski | | |
| Maximum likelihood estimators for discrete exponential families and random graphs T Skalski | | |
