Daniel Schalk

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Gradient Boosting

Predictive Model

Ensemble Learning

Top Venues

J. Open Source Softw.

J. Comput. Graph. Stat.

Publications

Daniel Schalk, Bernd Bischl, David Rügamer
Privacy-preserving and lossless distributed estimation of high-dimensional generalized additive mixed models. Stat. Comput. 34 (1) (2024)
Cem Akkus, Luyang Chu, Vladana Djakovic, Steffen Jauch-Walser, Philipp Koch, Giacomo Loss, Christopher Marquardt, Marco Moldovan, Nadja Sauter, Maximilian Schneider, Rickmer Schulte, Karol Urbanczyk, Jann Goschenhofer, Christian Heumann, Rasmus Hvingelby, Daniel Schalk, Matthias Aßenmacher
Multimodal Deep Learning. CoRR (2023)
Daniel Schalk, Bernd Bischl, David Rügamer
Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based Optimization. J. Comput. Graph. Stat. 32 (2) (2023)
Daniel Schalk, Verena S. Hoffmann, Bernd Bischl, Ulrich Mansmann
dsBinVal: Conducting distributed ROC analysis using DataSHIELD. J. Open Source Softw. 8 (83) (2023)
Daniel Schalk, Bernd Bischl, David Rügamer
Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed Models. CoRR (2022)
Daniel Schalk, Verena S. Hoffmann, Bernd Bischl, Ulrich Mansmann
Distributed non-disclosive validation of predictive models by a modified ROC-GLM. CoRR (2022)
Stefan Coors, Daniel Schalk, Bernd Bischl, David Rügamer
Automatic Componentwise Boosting: An Interpretable AutoML System. CoRR (2021)
Daniel Schalk, Bernd Bischl, David Rügamer
Accelerated Componentwise Gradient Boosting using Efficient Data Representation and Momentum-based Optimization. CoRR (2021)
Quay Au, Daniel Schalk, Giuseppe Casalicchio, Ramona Schödel, Clemens Stachl, Bernd Bischl
Component-Wise Boosting of Targets for Multi-Output Prediction. CoRR (2019)
Daniel Schalk, Janek Thomas, Bernd Bischl
compboost: Modular Framework for Component-Wise Boosting. J. Open Source Softw. 3 (30) (2018)