Luca Rendsburg

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Top Venues

J. Mach. Learn. Res.

Publications

Solveig Klepper, Christian Elbracht, Diego Fioravanti, Jakob Kneip, Luca Rendsburg, Maximilian Teegen, Ulrike von Luxburg
Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees. J. Mach. Learn. Res. 24 (2023)
Luca Rendsburg, Leena Chennuru Vankadara, Debarghya Ghoshdastidar, Ulrike von Luxburg
A Consistent Estimator for Confounding Strength. CoRR (2022)
Leena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg, Debarghya Ghoshdastidar
Interpolation and Regularization for Causal Learning. NeurIPS (2022)
Luca Rendsburg, Agustinus Kristiadi, Philipp Hennig, Ulrike von Luxburg
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference. AISTATS (2022)
Leena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg, Debarghya Ghoshdastidar
Interpolation and Regularization for Causal Learning. CoRR (2022)
Luca Rendsburg, Agustinus Kristiadi, Philipp Hennig, Ulrike von Luxburg
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference. CoRR (2022)
Luca Rendsburg, Damien Garreau
Comparison-based centrality measures. Int. J. Data Sci. Anal. 11 (3) (2021)
Christian Elbracht, Diego Fioravanti, Solveig Klepper, Jakob Kneip, Luca Rendsburg, Maximilian Teegen, Ulrike von Luxburg
Tangles: From Weak to Strong Clustering. CoRR (2020)
Luca Rendsburg, Holger Heidrich, Ulrike von Luxburg
NetGAN without GAN: From Random Walks to Low-Rank Approximations. ICML (2020)