Chris Kolb

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Edge Preserving Regularization

Quantile Regression

Semi Structured

Top Venues

J. Stat. Softw.

Publications

David Rügamer, Chris Kolb, Tobias Weber, Lucas Kook, Thomas Nagler
Generalizing Orthogonalization for Models with Non-Linearities. CoRR (2024)
Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp F. M. Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression. CoRR (2024)
David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. J. Stat. Softw. 105 (2) (2023)
Chris Kolb, Christian L. Müller, Bernd Bischl, David Rügamer
Smoothing the Edges: A General Framework for Smooth Optimization in Sparse Regularization using Hadamard Overparametrization. CoRR (2023)
David Rügamer, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Nadja Klein, Chris Kolb, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Christian L. Müller
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. CoRR (2021)
David Rügamer, Chris Kolb, Nadja Klein
A Unifying Network Architecture for Semi-Structured Deep Distributional Learning. CoRR (2020)