Von Luxburg, Ulrike

41 publications

ICML 2025 How Much Can We Forget About Data Contamination? Sebastian Bordt, Suraj Srinivas, Valentyn Boreiko, Ulrike Von Luxburg

NeurIPS 2025 On the Surprising Effectiveness of Large Learning Rates Under Standard Width Scaling Moritz Haas, Sebastian Bordt, Ulrike von Luxburg, Leena Chennuru Vankadara

NeurIPS 2025 Performative Validity of Recourse Explanations Gunnar König, Hidde Fokkema, Timo Freiesleben, Celestine Mendler-Dünner, Ulrike von Luxburg

ICML 2025 Position: Rethinking Explainable Machine Learning as Applied Statistics Sebastian Bordt, Eric Raidl, Ulrike Von Luxburg

NeurIPS 2024 Auditing Local Explanations Is Hard Robi Bhattacharjee, Ulrike von Luxburg

JMLR 2023 Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees Solveig Klepper, Christian Elbracht, Diego Fioravanti, Jakob Kneip, Luca Rendsburg, Maximilian Teegen, Ulrike von Luxburg

JMLR 2023 Insights into Ordinal Embedding Algorithms: A Systematic Evaluation Leena Chennuru Vankadara, Michael Lohaus, Siavash Haghiri, Faiz Ul Wahab, Ulrike von Luxburg

TMLR 2023 Relating Graph Auto-Encoders to Linear Models Solveig Klepper, Ulrike von Luxburg

CVPRW 2023 The Manifold Hypothesis for Gradient-Based Explanations Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg

AISTATS 2022 A Bandit Model for Human-Machine Decision Making with Private Information and Opacity Sebastian Bordt, Ulrike Von Luxburg

AISTATS 2022 Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference Luca Rendsburg, Agustinus Kristiadi, Philipp Hennig, Ulrike Von Luxburg

ICML 2020 NetGAN Without GAN: From Random Walks to Low-Rank Approximations Luca Rendsburg, Holger Heidrich, Ulrike Von Luxburg

ICML 2020 Too Relaxed to Be Fair Michael Lohaus, Michael Perrot, Ulrike Von Luxburg

IJCAI 2019 Boosting for Comparison-Based Learning Michaël Perrot, Ulrike von Luxburg

NeurIPS 2019 Foundations of Comparison-Based Hierarchical Clustering Debarghya Ghoshdastidar, Michaël Perrot, Ulrike von Luxburg

JMLR 2018 Design and Analysis of the NIPS 2016 Review Process Nihar B. Shah, Behzad Tabibian, Krikamol Muandet, Isabelle Guyon, Ulrike von Luxburg

NeurIPS 2018 Measures of Distortion for Machine Learning Leena Chennuru Vankadara, Ulrike von Luxburg

NeurIPS 2018 Practical Methods for Graph Two-Sample Testing Debarghya Ghoshdastidar, Ulrike von Luxburg

NeurIPS 2018 When Do Random Forests Fail? Cheng Tang, Damien Garreau, Ulrike von Luxburg

AISTATS 2017 Comparison-Based Nearest Neighbor Search Siavash Haghiri, Debarghya Ghoshdastidar, Ulrike von Luxburg

NeurIPS 2017 Kernel Functions Based on Triplet Comparisons Matthäus Kleindessner, Ulrike von Luxburg

JMLR 2017 Lens Depth Function and K-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis Matthäus Kleindessner, Ulrike von Luxburg

AISTATS 2015 Dimensionality Estimation Without Distances Matthäus Kleindessner, Ulrike von Luxburg

COLT 2014 Density-Preserving Quantization with Application to Graph Downsampling Morteza Alamgir, Gábor Lugosi, Ulrike von Luxburg

JMLR 2014 Hitting and Commute Times in Large Random Neighborhood Graphs Ulrike von Luxburg, Agnes Radl, Matthias Hein

COLT 2014 Uniqueness of Ordinal Embedding Matthäus Kleindessner, Ulrike von Luxburg

NeurIPS 2013 Density Estimation from Unweighted K-Nearest Neighbor Graphs: A Roadmap Ulrike Von Luxburg, Morteza Alamgir

ICML 2012 Shortest Path Distance in Random K-Nearest Neighbor Graphs Morteza Alamgir, Ulrike von Luxburg

ICML 2011 Pruning Nearest Neighbor Cluster Trees Samory Kpotufe, Ulrike von Luxburg

ICML 2011 Risk-Based Generalizations of F-Divergences Dario García-García, Ulrike von Luxburg, Raúl Santos-Rodríguez

FnTML 2009 Clustering Stability: An Overview Ulrike von Luxburg

JMLR 2009 Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions Sébastien Bubeck, Ulrike von Luxburg

COLT 2008 Relating Clustering Stability to Properties of Cluster Boundaries Shai Ben-David, Ulrike von Luxburg

ALT 2007 Cluster Identification in Nearest-Neighbor Graphs Markus Maier, Matthias Hein, Ulrike von Luxburg

JMLR 2007 Graph Laplacians and Their Convergence on Random Neighborhood Graphs Matthias Hein, Jean-Yves Audibert, Ulrike von Luxburg

COLT 2006 A Sober Look at Clustering Stability Shai Ben-David, Ulrike von Luxburg, Dávid Pál

COLT 2005 From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians Matthias Hein, Jean-Yves Audibert, Ulrike von Luxburg

JMLR 2004 A Compression Approach to Support Vector Model Selection Ulrike von Luxburg, Olivier Bousquet, Bernhard Schölkopf

JMLR 2004 Distance-Based Classification with Lipschitz Functions (Special Topic on Learning Theory) Ulrike von Luxburg, Olivier Bousquet

COLT 2004 On the Convergence of Spectral Clustering on Random Samples: The Normalized Case Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin

COLT 2003 Distance-Based Classification with Lipschitz Functions Ulrike von Luxburg, Olivier Bousquet