Search Results - Yang, Fanny

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  1. 1
    Early Stopping for Kernel Boosting Algorithms: A General Analysis With Localized Complexities

    Early Stopping for Kernel Boosting Algorithms: A General Analysis With Localized Complexities by Wei, Yuting, Yang, Fanny, Wainwright, Martin J.

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  2. 2
    Phaseless Signal Recovery in Infinite Dimensional Spaces Using Structured Modulations

    Phaseless Signal Recovery in Infinite Dimensional Spaces Using Structured Modulations by Pohl, Volker, Yang, Fanny, Boche, Holger

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  3. 3
    A phase retrieval method for signals in modulation-invariant spaces

    A phase retrieval method for signals in modulation-invariant spaces by Pohl, Volker, Yapar, Cagkan, Boche, Holger, Yang, Fanny

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  4. 4
    Margin-based sampling in high dimensions: When being active is less efficient than staying passive

    Margin-based sampling in high dimensions: When being active is less efficient than staying passive by Tifrea, Alexandru, Clarysse, Jacob, Yang, Fanny

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  5. 5
    Copyright-Protected Language Generation via Adaptive Model Fusion

    Copyright-Protected Language Generation via Adaptive Model Fusion by Abad, Javier, Donhauser, Konstantin, Pinto, Francesco, Yang, Fanny

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  6. 6
    Detecting critical treatment effect bias in small subgroups

    Detecting critical treatment effect bias in small subgroups by Piersilvio De Bartolomeis, Abad, Javier, Donhauser, Konstantin, Yang, Fanny

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  7. 7
    Tight bounds for maximum \(\ell_1\)-margin classifiers

    Tight bounds for maximum \(\ell_1\)-margin classifiers by Stojanovic, Stefan, Donhauser, Konstantin, Yang, Fanny

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  8. 8
    How unfair is private learning ?

    How unfair is private learning ? by Sanyal, Amartya, Hu, Yaxi, Yang, Fanny

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  9. 9
    Privacy-preserving data release leveraging optimal transport and particle gradient descent

    Privacy-preserving data release leveraging optimal transport and particle gradient descent by Donhauser, Konstantin, Abad, Javier, Hulkund, Neha, Yang, Fanny

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  10. 10
    Strong Copyright Protection for Language Models via Adaptive Model Fusion

    Strong Copyright Protection for Language Models via Adaptive Model Fusion by Abad, Javier, Donhauser, Konstantin, Pinto, Francesco, Yang, Fanny

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  11. 11
    Hidden yet quantifiable: A lower bound for confounding strength using randomized trials

    Hidden yet quantifiable: A lower bound for confounding strength using randomized trials by Piersilvio De Bartolomeis, Abad, Javier, Donhauser, Konstantin, Yang, Fanny

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  12. 12
    Can semi-supervised learning use all the data effectively? A lower bound perspective

    Can semi-supervised learning use all the data effectively? A lower bound perspective by Ţifrea, Alexandru, Yüce, Gizem, Sanyal, Amartya, Yang, Fanny

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  13. 13
    Semi-supervised novelty detection using ensembles with regularized disagreement

    Semi-supervised novelty detection using ensembles with regularized disagreement by Ţifrea, Alexandru, Stavarache, Eric, Yang, Fanny

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  14. 14
    Tight bounds for minimum l1-norm interpolation of noisy data

    Tight bounds for minimum l1-norm interpolation of noisy data by Wang, Guillaume, Donhauser, Konstantin, Yang, Fanny

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  15. 15
    Why adversarial training can hurt robust accuracy

    Why adversarial training can hurt robust accuracy by Clarysse, Jacob, Hörmann, Julia, Yang, Fanny

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  16. 16
    Self-supervised Reinforcement Learning with Independently Controllable Subgoals

    Self-supervised Reinforcement Learning with Independently Controllable Subgoals by Zadaianchuk, Andrii, Martius, Georg, Yang, Fanny

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  17. 17
    How robust accuracy suffers from certified training with convex relaxations

    How robust accuracy suffers from certified training with convex relaxations by Piersilvio De Bartolomeis, Clarysse, Jacob, Sanyal, Amartya, Yang, Fanny

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  18. 18
    PILLAR: How to make semi-private learning more effective

    PILLAR: How to make semi-private learning more effective by Pinto, Francesco, Hu, Yaxi, Yang, Fanny, Sanyal, Amartya

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  19. 19
    Strong inductive biases provably prevent harmless interpolation

    Strong inductive biases provably prevent harmless interpolation by Aerni, Michael, Milanta, Marco, Donhauser, Konstantin, Yang, Fanny

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  20. 20
    How rotational invariance of common kernels prevents generalization in high dimensions

    How rotational invariance of common kernels prevents generalization in high dimensions by Donhauser, Konstantin, Wu, Mingqi, Yang, Fanny

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