| Tight bounds for minimum -norm interpolation of noisy data G Wang, K Donhauser, F Yang International Conference on Artificial Intelligence and Statistics, 10572-10602, 2022 | 31 | 2022 |
| Efficient smoothing of dilated convolutions for image segmentation T Ziegler, M Fritsche, L Kuhn, K Donhauser arXiv preprint arXiv:1903.07992, 2019 | 23 | 2019 |
| Fast rates for noisy interpolation require rethinking the effects of inductive bias K Donhauser, N Ruggeri, S Stojanovic, F Yang Proceedings of the 39th International Conference on Machine Learning 162 …, 2022 | 22 | 2022 |
| How rotational invariance of common kernels prevents generalization in high dimensions K Donhauser, M Wu, F Yang Proceedings of the 38th International Conference on Machine Learning 139 …, 2021 | 22 | 2021 |
| Interpolation can hurt robust generalization even when there is no noise K Donhauser, A Tifrea, M Aerni, R Heckel, F Yang Advances in Neural Information Processing Systems 34, 23465-23477, 2021 | 12 | 2021 |
| Certified private data release for sparse Lipschitz functions K Donhauser, J Lokna, A Sanyal, M Boedihardjo, R Hönig, F Yang arXiv preprint arXiv:2302.09680, 2023 | 5* | 2023 |
| Strong inductive biases provably prevent harmless interpolation M Aerni, M Milanta, K Donhauser, F Yang International Conference on Learning Representations, 2023 | 5 | 2023 |
| Hidden yet quantifiable: A lower bound for confounding strength using randomized trials P De Bartolomeis, JA Martinez, K Donhauser, F Yang International Conference on Artificial Intelligence and Statistics, 1045-1053, 2024 | 3 | 2024 |
| Detecting critical treatment effect bias in small subgroups P De Bartolomeis, J Abad, K Donhauser, F Yang arXiv preprint arXiv:2404.18905, 2024 | 1 | 2024 |
| Tight bounds for maximum -margin classifiers S Stojanovic, K Donhauser, F Yang International Conference on Algorithmic Learning Theory, 1055-1112, 2024 | 1 | 2024 |
| Privacy-preserving data release leveraging optimal transport and particle gradient descent K Donhauser, J Abad, N Hulkund, F Yang arXiv preprint arXiv:2401.17823, 2024 | 1 | 2024 |
Fanny YangETH Zurich在 inf.ethz.ch 的电子邮件经过验证
