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Statistical Learning Theory Conference Paper Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models Vankadara, L., Bordt, S., von Luxburg, U., Ghoshdastidar, D. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 3817-3825, Proceedings of Machine Learning Research , PMLR, The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021), 2021 (Published) URL BibTeX
Statistical Learning Theory Conference Paper Explaining the Explainer: A First Theoretical Analysis of LIME Garreau, D., von Luxburg, U. Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics , 108:1287-1296, Proceedings of Machine Learning Research, (Editors: Silvia Chiappa and Roberto Calandra), PMLR, 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020) , August 2020 (Published) URL BibTeX
Statistical Learning Theory Conference Paper Too Relaxed to Be Fair Lohaus, M., Perrot, M., von Luxburg, U. Proceedings of the 37th International Conference on Machine Learning (ICML 2020), 119:6316 - 6325, Proceedings of Machine Learning Research, Curran Associates, Inc. , Red Hook, International Conference of Machine Learning (ICML), 2020 (Published) URL BibTeX
Statistical Learning Theory Conference Paper NetGAN without GAN: From Random Walks to Low-Rank Approximations Rendsburg, L., Heidrich, H., von Luxburg, U. International Conference of Machine Learning (ICML), 2020 BibTeX
Statistical Learning Theory Conference Paper Foundations of Comparison-Based Hierarchical Clustering Ghoshdastidar, D., Perrot, M., von Luxburg, U. Advances in Neural Information Processing Systems 32 (NIPS 2019), NeurIPS, Neural Information Processing Systems, December 2019 (Published) URL BibTeX
Statistical Learning Theory Conference Paper Boosting for Comparison-Based Learning Perrot, M., von Luxburg, U. International Joint Conference on Artificial Intelligence (IJCAI), 2019 BibTeX
Statistical Learning Theory Conference Paper Comparison-Based Random Forests Haghiri, S., Garreau, D., Luxburg, U. V. International Conference on Machine learning (ICML), 2018 URL BibTeX