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ORCIDKonstantin Donhauser
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2020 – today
- 2024
[c9]Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang:
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials. AISTATS 2024: 1045-1053- [c8]Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang:
Certified private data release for sparse Lipschitz functions. AISTATS 2024: 1396-1404 - [c7]Stefan Stojanovic, Konstantin Donhauser, Fanny Yang:
Tight bounds for maximum ℓ1-margin classifiers. ALT 2024: 1055-1112 - [c6]Konstantin Donhauser, Javier Abad Martinez, Neha Hulkund, Fanny Yang:
Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent. ICML 2024 - [i12]Konstantin Donhauser, Javier Abad Martinez, Neha Hulkund, Fanny Yang:
Privacy-preserving data release leveraging optimal transport and particle gradient descent. CoRR abs/2401.17823 (2024) - [i11]Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang:
Detecting critical treatment effect bias in small subgroups. CoRR abs/2404.18905 (2024) - [i10]Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang:
Strong Copyright Protection for Language Models via Adaptive Model Fusion. CoRR abs/2407.20105 (2024) - 2023
- [c5]Michael Aerni
, Marco Milanta, Konstantin Donhauser, Fanny Yang:
Strong inductive biases provably prevent harmless interpolation. ICLR 2023 - [i9]Michael Aerni, Marco Milanta, Konstantin Donhauser, Fanny Yang:
Strong inductive biases provably prevent harmless interpolation. CoRR abs/2301.07605 (2023) - [i8]Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang:
Sample-efficient private data release for Lipschitz functions under sparsity assumptions. CoRR abs/2302.09680 (2023) - [i7]Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang:
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials. CoRR abs/2312.03871 (2023) - 2022
- [c4]Guillaume Wang, Konstantin Donhauser, Fanny Yang:
Tight bounds for minimum ℓ1-norm interpolation of noisy data. AISTATS 2022: 10572-10602 - [c3]Konstantin Donhauser, Nicolò Ruggeri, Stefan Stojanovic, Fanny Yang:
Fast rates for noisy interpolation require rethinking the effect of inductive bias. ICML 2022: 5397-5428 - [i6]Konstantin Donhauser, Nicolò Ruggeri, Stefan Stojanovic, Fanny Yang:
Fast rates for noisy interpolation require rethinking the effects of inductive bias. CoRR abs/2203.03597 (2022) - [i5]Stefan Stojanovic, Konstantin Donhauser, Fanny Yang:
Tight bounds for maximum 𝓁1-margin classifiers. CoRR abs/2212.03783 (2022) - 2021
- [c2]Konstantin Donhauser, Mingqi Wu, Fanny Yang:
How rotational invariance of common kernels prevents generalization in high dimensions. ICML 2021: 2804-2814 - [c1]Konstantin Donhauser, Alexandru Tifrea, Michael Aerni, Reinhard Heckel, Fanny Yang:
Interpolation can hurt robust generalization even when there is no noise. NeurIPS 2021: 23465-23477 - [i4]Konstantin Donhauser, Mingqi Wu, Fanny Yang:
How rotational invariance of common kernels prevents generalization in high dimensions. CoRR abs/2104.04244 (2021) - [i3]Konstantin Donhauser, Alexandru Tifrea, Michael Aerni, Reinhard Heckel, Fanny Yang:
Interpolation can hurt robust generalization even when there is no noise. CoRR abs/2108.02883 (2021) - [i2]Guillaume Wang, Konstantin Donhauser, Fanny Yang:
Tight bounds for minimum l1-norm interpolation of noisy data. CoRR abs/2111.05987 (2021)
2010 – 2019
- 2019
- [i1]Thomas Ziegler, Manuel Fritsche, Lorenz Kuhn, Konstantin Donhauser:
Efficient Smoothing of Dilated Convolutions for Image Segmentation. CoRR abs/1903.07992 (2019)
Coauthor Index
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