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Tight bounds for minimum l1-norm interpolation of noisy data


Nov 10, 2021
Guillaume Wang, Konstantin Donhauser, Fanny Yang

* 29 pages, 1 figure 

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Self-supervised Reinforcement Learning with Independently Controllable Subgoals


Sep 09, 2021
Andrii Zadaianchuk, Georg Martius, Fanny Yang


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Interpolation can hurt robust generalization even when there is no noise


Aug 05, 2021
Konstantin Donhauser, Alexandru Ţifrea, Michael Aerni, Reinhard Heckel, Fanny Yang


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How rotational invariance of common kernels prevents generalization in high dimensions


Apr 09, 2021
Konstantin Donhauser, Mingqi Wu, Fanny Yang


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Learn what you can't learn: Regularized Ensembles for Transductive Out-of-distribution Detection


Dec 10, 2020
Alexandru Ţifrea, Eric Stavarache, Fanny Yang


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Understanding and Mitigating the Tradeoff Between Robustness and Accuracy


Feb 25, 2020
Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John Duchi, Percy Liang


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Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness


Jun 26, 2019
Fanny Yang, Zuowen Wang, Christina Heinze-Deml


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Adversarial Training Can Hurt Generalization


Jun 14, 2019
Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang


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Regularized Learning for Domain Adaptation under Label Shifts


Mar 22, 2019
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar

* @article{azizzadenesheli2018regularized, title={Regularized Learning for Domain Adaptation under Label Shifts}, author={Azizzadenesheli, Kamyar and Liu, Anqi and Yang, Fanny and Anandkumar, Animashree}, year={2019} } 
* International Conference on Learning Representations (ICLR) 2019 

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Early stopping for kernel boosting algorithms: A general analysis with localized complexities


Mar 13, 2018
Yuting Wei, Fanny Yang, Martin J. Wainwright

* Compared to the nips version, this version includes results for the random design case and the proofs 

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A framework for Multi-A(rmed)/B(andit) testing with online FDR control


Nov 18, 2017
Fanny Yang, Aaditya Ramdas, Kevin Jamieson, Martin J. Wainwright

* Published as a conference paper at NIPS 2017 

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Online control of the false discovery rate with decaying memory


Oct 02, 2017
Aaditya Ramdas, Fanny Yang, Martin J. Wainwright, Michael I. Jordan

* 20 pages, 4 figures. Published in the proceedings of NIPS 2017 

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Statistical and Computational Guarantees for the Baum-Welch Algorithm


Dec 27, 2015
Fanny Yang, Sivaraman Balakrishnan, Martin J. Wainwright


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