Luca Rendsburg

According to our database, Luca Rendsburg authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Inductive Bias in Machine Learning.

Luca Rendsburg

PhD thesis, 2023

Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees.

Solveig Klepper, Christian Elbracht, Diego Fioravanti, Jakob Kneip, Luca Rendsburg, Maximilian Teegen, Ulrike von Luxburg

J. Mach. Learn. Res., 2023

2022

A Consistent Estimator for Confounding Strength.

Luca Rendsburg, Leena Chennuru Vankadara, Debarghya Ghoshdastidar, Ulrike von Luxburg

CoRR, 2022

Interpolation and Regularization for Causal Learning.

Leena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg, Debarghya Ghoshdastidar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference.

Luca Rendsburg, Agustinus Kristiadi, Philipp Hennig, Ulrike von Luxburg

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Comparison-based centrality measures.

Luca Rendsburg, Damien Garreau

Int. J. Data Sci. Anal., 2021

2020

Tangles: From Weak to Strong Clustering.

Christian Elbracht, Diego Fioravanti, Solveig Klepper, Jakob Kneip, Luca Rendsburg, Maximilian Teegen, Ulrike von Luxburg

CoRR, 2020

NetGAN without GAN: From Random Walks to Low-Rank Approximations.

Luca Rendsburg, Holger Heidrich, Ulrike von Luxburg

Proceedings of the 37th International Conference on Machine Learning, 2020