Ulrike Von Luxburg
29 papers · 2004–2025 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 45% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ulrike Von Luxburg?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Debarghya Ghoshdastidar, Sebastian Bordt, Michaël Perrot
13 papers
· 2017–2025
· AISTATS, ICML, NeurIPS
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How Much Can We Forget about Data Contamination?
ICML 2025
Position: Rethinking Explainable Machine Learning as Applied Statistics
ICML 2025
From Shapley Values to Generalized Additive Models and back
AISTATS 2023
Insights into Ordinal Embedding Algorithms: A Systematic Evaluation
JMLR 2023
A Bandit Model for Human-Machine Decision Making with Private Information and Opacity
AISTATS 2022
Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models
AISTATS 2021
Too Relaxed to Be Fair
ICML 2020
Boosting for Comparison-Based Learning
IJCAI 2019
Foundations of Comparison-Based Hierarchical Clustering
NeurIPS 2019
Measures of distortion for machine learning
NeurIPS 2018
Practical Methods for Graph Two-Sample Testing
NeurIPS 2018
Comparison-Based Nearest Neighbor Search
AISTATS 2017
Two-Sample Tests for Large Random Graphs Using Network Statistics
COLT 2017
5 papers whose co-authors appear nowhere else under this name
Disentangling Interactions and Dependencies in Feature Attributions
AISTATS 2025
Design and Analysis of the NIPS 2016 Review Process
JMLR 2018
When do random forests fail?
NeurIPS 2018
Density estimation from unweighted k-nearest neighbor graphs: a roadmap
NeurIPS 2013
Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions
JMLR 2009