Articles with public access mandates - Ulrike von LuxburgLearn more
Not available anywhere: 1
Feasibility of active machine learning for multiclass compound classification
T Lang, F Flachsenberg, U von Luxburg, M Rarey
Journal of chemical information and modeling 56 (1), 12-20, 2016
Mandates: German Research Foundation
Available somewhere: 39
Explaining the explainer: A first theoretical analysis of LIME
D Garreau, U Luxburg
International conference on artificial intelligence and statistics, 1287-1296, 2020
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Hitting and commute times in large random neighborhood graphs
U Von Luxburg, A Radl, M Hein
The Journal of Machine Learning Research 15 (1), 1751-1798, 2014
Mandates: German Research Foundation
Design and analysis of the NIPS 2016 review process
NB Shah, B Tabibian, K Muandet, I Guyon, U Von Luxburg
Journal of machine learning research 19 (49), 1-34, 2018
Mandates: US National Science Foundation, German Research Foundation
When do random forests fail?
C Tang, D Garreau, U von Luxburg
Advances in neural information processing systems 31, 2018
Mandates: German Research Foundation
Local ordinal embedding
Y Terada, U Luxburg
International Conference on Machine Learning, 847-855, 2014
Mandates: German Research Foundation
Consistent procedures for cluster tree estimation and pruning
K Chaudhuri, S Dasgupta, S Kpotufe, U Von Luxburg
IEEE Transactions on Information Theory 60 (12), 7900-7912, 2014
Mandates: German Research Foundation
Uniqueness of ordinal embedding
M Kleindessner, U Luxburg
Conference on Learning Theory, 40-67, 2014
Mandates: German Research Foundation
Post-hoc explanations fail to achieve their purpose in adversarial contexts
S Bordt, M Finck, E Raidl, U von Luxburg
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
Mandates: German Research Foundation, Federal Ministry of Education and Research, Germany
Two-sample hypothesis testing for inhomogeneous random graphs
D Ghoshdastidar, M Gutzeit, A Carpentier, U Von Luxburg
The Annals of Statistics 48 (4), 2208-2229, 2020
Mandates: German Research Foundation
Two-sample tests for large random graphs using network statistics
D Ghoshdastidar, M Gutzeit, A Carpentier, U von Luxburg
Conference on Learning Theory, 954-977, 2017
Mandates: German Research Foundation
No evidence for unconscious lie detection: A significant difference does not imply accurate classification
VH Franz, U von Luxburg
Psychological science 26 (10), 1646-1648, 2015
Mandates: German Research Foundation
Practical methods for graph two-sample testing
D Ghoshdastidar, U Von Luxburg
Advances in Neural Information Processing Systems 31, 2018
Mandates: German Research Foundation
Peer grading in a course on algorithms and data structures: Machine learning algorithms do not improve over simple baselines
MSM Sajjadi, M Alamgir, U von Luxburg
Proceedings of the third (2016) ACM conference on Learning@ Scale, 369-378, 2016
Mandates: German Research Foundation
Lens depth function and k-relative neighborhood graph: versatile tools for ordinal data analysis
M Kleindessner, U Von Luxburg
Journal of Machine Learning Research 18 (58), 1-52, 2017
Mandates: German Research Foundation
Comparison-based nearest neighbor search
S Haghiri, D Ghoshdastidar, U von Luxburg
Artificial Intelligence and Statistics, 851-859, 2017
Mandates: German Research Foundation
Kernel functions based on triplet comparisons
M Kleindessner, U von Luxburg
Advances in neural information processing systems 30, 2017
Mandates: German Research Foundation
Density estimation from unweighted k-nearest neighbor graphs: a roadmap
U Von Luxburg, M Alamgir
Advances in Neural Information Processing Systems 26, 2013
Mandates: German Research Foundation
Comparison-based random forests
S Haghiri, D Garreau, U Luxburg
International Conference on Machine Learning, 1871-1880, 2018
Mandates: German Research Foundation
Advancing research on unconscious priming: When can scientists claim an indirect task advantage?
S Meyen, IA Zerweck, C Amado, U von Luxburg, VH Franz
Journal of Experimental Psychology: General 151 (1), 65, 2022
Mandates: German Research Foundation
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