Ulrike von Luxburg
Affiliations:- University of Tübingen, Germany
- University of Hamburg, Germany (former)
According to our database1,
Ulrike von Luxburg
authored at least 79 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on id.loc.gov
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on d-nb.info
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on kyb.mpg.de
On csauthors.net:
Bibliography
2024
CoRR, 2024
2023
J. Mach. Learn. Res., 2023
J. Mach. Learn. Res., 2023
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382).
Dagstuhl Reports, September, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
A Bandit Model for Human-Machine Decision Making with Private Information and Opacity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis.
J. Mach. Learn. Res., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 30th Conference on Learning Theory, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
J. Chem. Inf. Model., 2016
Dagstuhl Reports, 2016
Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016
2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
IEEE Trans. Inf. Theory, 2014
J. Mach. Learn. Res., 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation.
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of The 27th Conference on Learning Theory, 2014
Proceedings of The 27th Conference on Learning Theory, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
2012
Proceedings of the Unsupervised and Transfer Learning, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
Proceedings of the Inductive Logic, 2011
Preface.
Proceedings of the COLT 2011, 2011
CoRR, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
2010
Hitting times, commute distances and the spectral gap for large random geometric graphs
CoRR, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the ICDM 2010, 2010
2009
Theor. Comput. Sci., 2009
Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions.
J. Mach. Learn. Res., 2009
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009
2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the 21st Annual Conference on Learning Theory, 2008
2007
J. Mach. Learn. Res., 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Algorithmic Learning Theory, 18th International Conference, 2007
2006
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
2005
From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004