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Luca Rendsburg
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2020 – today
- 2023
- [b1]Luca Rendsburg:
Inductive Bias in Machine Learning. University of Tübingen, Germany, 2023 - [j2]Solveig Klepper, Christian Elbracht
, Diego Fioravanti, Jakob Kneip, Luca Rendsburg, Maximilian Teegen
Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees. J. Mach. Learn. Res. 24: 190:1-190:56 (2023) - 2022
- [c3]Luca Rendsburg, Agustinus Kristiadi, Philipp Hennig, Ulrike von Luxburg:
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference. AISTATS 2022: 1503-1526 - [c2]Leena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg, Debarghya Ghoshdastidar:
Interpolation and Regularization for Causal Learning. NeurIPS 2022 - [i4]Leena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg, Debarghya Ghoshdastidar:
Interpolation and Regularization for Causal Learning. CoRR abs/2202.09054 (2022) - [i3]Luca Rendsburg, Agustinus Kristiadi, Philipp Hennig
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference. CoRR abs/2203.03353 (2022) - [i2]Luca Rendsburg, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
A Consistent Estimator for Confounding Strength. CoRR abs/2211.01903 (2022) - 2021
- [j1]Luca Rendsburg
Comparison-based centrality measures. Int. J. Data Sci. Anal. 11(3): 243-259 (2021) - 2020
- [c1]Luca Rendsburg, Holger Heidrich, Ulrike von Luxburg:
NetGAN without GAN: From Random Walks to Low-Rank Approximations. ICML 2020: 8073-8082 - [i1]Christian Elbracht
Tangles: From Weak to Strong Clustering. CoRR abs/2006.14444 (2020)
Coauthor Index
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