Luca Rendsburg

Since April 2019, I am a PhD student under the supervision of Prof. Dr. Ulrike von Luxburg in the Theory of Machine Learning group (TML) at Tuebingen university, computer science department. I am a scholar in the International Max Planck Research School for Intelligent Systems (IMPRS-IS), a graduate school for PhD students from both university and Max-Planck-Institute in Tuebingen and Stuttgart. I will finish my PhD at the end of 2022.

• Leena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg, Debarghya Ghoshdastidar, Interpolation and Regularization for Causal Learning. (NeurIPS22, to appear) arXiv

• Luca Rendsburg, Agustinus Kristiadi, Philipp Hennig, Ulrike von Luxburg, Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference. In The 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022) pdf

• Luca Rendsburg, Damien Garreau, Comparison-based centrality measures. In International Journal of Data Science and Analytics (2021) link

• Luca Rendsburg, Holger Heidrich, Ulrike von Luxburg, NetGAN Without GAN: From Random Walks to Low-Rank Approximations. In The 37th International Conference on Machine Learning (ICML 2020) link

• Luca Rendsburg, Leena Chennuru Vankadara, Debarghya Ghoshdastidar, Ulrike von Luxburg, A Consistent Estimator for Confounding Strength. arXiv

• Christian Elbracht, Diego Fioravanti, Solveig Klepper, Jakob Kneip, Luca Rendsburg, Maximilian Teegen, Ulrike von Luxburg, Tangles: From Weak to Strong Clustering. arXiv