| An optimal algorithm for the thresholding bandit problem A Locatelli, M Gutzeit, A Carpentier International Conference on Machine Learning, 1690-1698, 2016 | 168 | 2016 |
| Two-sample hypothesis testing for inhomogeneous random graphs D Ghoshdastidar, M Gutzeit, A Carpentier, U Von Luxburg The Annals of Statistics 48 (4), 2208-2229, 2020 | 68 | 2020 |
| Two-sample tests for large random graphs using network statistics D Ghoshdastidar, M Gutzeit, A Carpentier, U von Luxburg Conference on Learning Theory, 954-977, 2017 | 61 | 2017 |
| Minimax Euclidean separation rates for testing convex hypotheses in G Blanchard, A Carpentier, M Gutzeit | 13 | 2018 |
| Reanalyse: Wie hoch ist die optimale Mindestmenge für die Behandlung Frühgeborener mit einem Geburtsgewicht unter 1250 g in Deutschland? G Heller, M Gutzeit, J Rauh, J Cederbaum, R Rossi, T Thomas, RF Maier Zeitschrift für Geburtshilfe und Neonatologie 226 (01), 68-69, 2022 | 6 | 2022 |
| Topics in statistical minimax hypothesis testing M Gutzeit Dissertation, Magdeburg, Otto-von-Guericke-Universität Magdeburg, 2019, 2019 | 1 | 2019 |
| Modelling volume-outcome relationships in health care M Gutzeit, J Rauh, M Kähler, J Cederbaum arXiv preprint arXiv:2203.12927, 2022 | | 2022 |
| Reanalysis: What is the optimal Minimum Amount for the Treatment of Preterm Infants with a Birth Weight below 1250 g in Germany? G Heller, M Gutzeit, J Rauh, J Cederbaum, R Rossi, T Thomas, RF Maier ZEITSCHRIFT FUR GEBURTSHILFE UND NEONATOLOGIE 226 (01), 68-69, 2022 | | 2022 |
| Minimax -Separation Rate in Testing the Sobolev-Type Regularity of a function M Gutzeit arXiv preprint arXiv:1901.00880, 2019 | | 2019 |
| THE ANNALS D GHOSHDASTIDAR, M GUTZEIT | | |
| TESTING THE EQUALITY IN DISTRIBUTION OF TWO RANDOM GRAPHS M Gutzeit, OGU Magdeburg, U von Luxburg, D Ghoshdastidar | | |
Debarghya GhoshdastidarTechnical University of Munichcit.tum.de의 이메일 확인됨
