Florian Dumpert

According to our database, Florian Dumpert authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Vorwort der Herausgeber.

Jan Pablo Burgard, Markus Zwick, Florian Dumpert, Sebastian Wichert, Thomas Augustin, Nina Storfinger

AStA Wirtschafts und Sozialstatistisches Arch., June, 2024

2023

Qualitätsdimensionen maschinellen Lernens in der amtlichen Statistik.

Younes Saidani, Florian Dumpert, Christian Borgs, Alexander Brand, Andreas Nickl, Alexandra Rittmann, Johannes Rohde, Christian Salwiczek, Nina Storfinger, Selina Straub

AStA Wirtschafts und Sozialstatistisches Arch., December, 2023

Editorial issue 3 + 4, 2023.

Florian Dumpert, Sebastian Wichert, Thomas Augustin, Nina Storfinger

AStA Wirtschafts und Sozialstatistisches Arch., December, 2023

Verbesserung der Datengrundlage der Mindestlohnforschung mittels maschineller Lernverfahren.

Florian Dumpert, Martin Beck

AStA Wirtschafts und Sozialstatistisches Arch., March, 2023

Hyperparameter Tuning in German Official Statistics.

Florian Dumpert, Elena Schmidt

Proceedings of the Hyperparameter Tuning for Machine and Deep Learning with R, 2023

2022

Is there a role for statistics in artificial intelligence?

Sarah Friedrich, Gerd Antes, Sigrid Behr, Harald Binder, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler, Johannes Lederer, Heinz Leitgöb, Markus Pauly, Ansgar Steland, Adalbert F. X. Wilhelm, Tim Friede

Adv. Data Anal. Classif., 2022

2019

Quantitative Robustness of Localized Support Vector Machines.

Florian Dumpert

CoRR, 2019

2018

Universal consistency and robustness of localized support vector machines.

Florian Dumpert, Andreas Christmann

Neurocomputing, 2018

Machine Learning in Official Statistics.

Martin Beck, Florian Dumpert, Jörg Feuerhake

CoRR, 2018

2017

Einsatz von Machine-Learning-Verfahren in amtlichen Unternehmensstatistiken.

Florian Dumpert, Martin Beck

AStA Wirtschafts und Sozialstatistisches Arch., 2017

2016

A short note on extension theorems and their connection to universal consistency in machine learning.

Andreas Christmann, Florian Dumpert, Dao-Hong Xiang

CoRR, 2016