Header logo is slt


2018


no image
When do random forests fail?

Tang, C., Garreau, D., von Luxburg, U.

In Proceedings Neural Information Processing Systems, Neural Information Processing Systems (NIPS 2018) , December 2018 (inproceedings)

Project Page [BibTex]

2018

Project Page [BibTex]


no image
Comparison-Based Random Forests

Haghiri, S., Garreau, D., Luxburg, U. V.

International Conference on Machine learning (ICML), 2018 (conference)

link (url) [BibTex]

link (url) [BibTex]


no image
Design and Analysis of the NIPS 2016 Review Process

Shah*, N., Tabibian*, B., Muandet, K., Guyon, I., von Luxburg, U.

Journal of Machine Learning Research, 19(49):1-34, 2018, *equal contribution (article)

arXiv link (url) [BibTex]

arXiv link (url) [BibTex]


no image
Foundations of Comparison-Based Hierarchical Clustering

Ghoshdastidar, D., Perrot, M., von Luxburg, U.

2018, arXiv preprint (arXiv:1811.00928) (article)

Project Page [BibTex]

Project Page [BibTex]


no image
Measures of distortion for machine learning

Vankadara, L., von Luxburg, U.

In Proceedings Neural Information Processing Systems, Neural Information Processing Systems (NIPS 2018) , 2018 (inproceedings)

Project Page [BibTex]

Project Page [BibTex]


no image
Practical Methods for Graph Two-Sample Testing

Ghoshdastidar, D., von Luxburg, U.

In Proceedings Neural Information Processing Systems, Neural Information Processing Systems (NIPS 2018) , 2018 (inproceedings)

Project Page [BibTex]

Project Page [BibTex]


no image
Boosting for Comparison-Based Learning

Perrot, M., von Luxburg, U.

2018, arXiv preprint (arXiv:1810.13333) (article)

Project Page [BibTex]

Project Page [BibTex]

2017


no image
Comparison-based nearest neighbor search

Haghiri, S., Ghoshdastidar, D., von Luxburg, U.

In Artificial Intelligence and Statistics, Artificial Intelligence and Statistics (AISTATS), 2017 (inproceedings)

Project Page [BibTex]

2017

Project Page [BibTex]


no image
Kernel functions based on triplet comparisons

Kleindessner, M., von Luxburg, U.

In Proceedings Neural Information Processing Systems, Neural Information Processing Systems (NIPS), 2017 (inproceedings)

Project Page [BibTex]

Project Page [BibTex]


no image
Two-sample Hypothesis Testing for Inhomogeneous Random Graphs

Ghoshdastidar, D., Gutzeit, M., Carpentier, A., von Luxburg, U.

2017, arXiv preprint (arXiv:1707.00833) (article)

Project Page [BibTex]

Project Page [BibTex]


no image
Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis

Kleindessner, M., von Luxburg, U.

Journal of Machine Learning Research (JMLR), Journal of Machine Learning Research, 18, 2017 (article)

Project Page [BibTex]

Project Page [BibTex]


no image
Two-sample tests for large random graphs using network statistics

Ghoshdastidar, D., Gutzeit, M., Carpentier, A., von Luxburg, U.

In Conference on Computational Learning Theory (COLT), Conference on Computational Learning Theory (COLT), 2017 (inproceedings)

Project Page [BibTex]

Project Page [BibTex]