Fast Rates for Noisy Interpolation Require Rethinking the Effects of Inductive 
Bias

Donhauser, Konstantin; Ruggeri, Nicolo; Stojanovic, Stefan; Yang, Fanny

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Fast Rates for Noisy Interpolation Require Rethinking the Effects of Inductive Bias

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Ruggeri, Nicolo
Max Planck Research Group Physics for Inference and Optimization, Max Planck Institute for Intelligent Systems, Max Planck Society;
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https://proceedings.mlr.press/v162/donhauser22a.html
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https://doi.org/10.48550/arXiv.2203.03597
(Preprint)

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Donhauser, K., Ruggeri, N., Stojanovic, S., & Yang, F. (2022). Fast Rates for Noisy Interpolation Require Rethinking the Effects of Inductive Bias. In K. Chaudhuri, S. Jegelka, L. Song, C. Szepesvari, G. Niu, & S. Sabato (Eds.), Proceedings of the 39th International Conference on Machine Learning (ICML 2022) (pp. 5397-5428). PMLR. Retrieved from https://proceedings.mlr.press/v162/donhauser22a.html.

Cite as: https://hdl.handle.net/21.11116/0000-0010-1445-A

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