Fanny Yang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 52

Top Venues

CoRR

ICML

NIPS

AISTATS

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang
Certified private data release for sparse Lipschitz functions. AISTATS (2024)
Konstantin Donhauser, Javier Abad, Neha Hulkund, Fanny Yang
Privacy-preserving data release leveraging optimal transport and particle gradient descent. CoRR (2024)
Francesco Pinto, Yaxi Hu, Fanny Yang, Amartya Sanyal
PILLAR: How to make semi-private learning more effective. SaTML (2024)
Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang
Detecting critical treatment effect bias in small subgroups. CoRR (2024)
Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang
Strong Copyright Protection for Language Models via Adaptive Model Fusion. CoRR (2024)
Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel, Alexander Wolters, Gleb Novikov, Amartya Sanyal, David Steurer, Fanny Yang
Robust Mixture Learning when Outliers Overwhelm Small Groups. CoRR (2024)
Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials. AISTATS (2024)
Stefan Stojanovic, Konstantin Donhauser, Fanny Yang
-margin classifiers. ALT (2024)
Michael Aerni, Marco Milanta, Konstantin Donhauser, Fanny Yang
Strong inductive biases provably prevent harmless interpolation. CoRR (2023)
Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang
Sample-efficient private data release for Lipschitz functions under sparsity assumptions. CoRR (2023)
Michael Aerni, Marco Milanta, Konstantin Donhauser, Fanny Yang
Strong inductive biases provably prevent harmless interpolation. ICLR (2023)
Alexandru Tifrea, Jacob Clarysse, Fanny Yang
Margin-based sampling in high dimensions: When being active is less efficient than staying passive. ICML (2023)
Jacob Clarysse, Julia Hörrmann, Fanny Yang
Why adversarial training can hurt robust accuracy. ICLR (2023)
Alexandru Tifrea, Gizem Yüce, Amartya Sanyal, Fanny Yang
Can semi-supervised learning use all the data effectively? A lower bound perspective. NeurIPS (2023)
Francesco Pinto, Yaxi Hu, Fanny Yang, Amartya Sanyal
PILLAR: How to make semi-private learning more effective. CoRR (2023)
Alexandru Tifrea, Gizem Yüce, Amartya Sanyal, Fanny Yang
Can semi-supervised learning use all the data effectively? A lower bound perspective. CoRR (2023)
Piersilvio De Bartolomeis, Jacob Clarysse, Amartya Sanyal, Fanny Yang
How robust accuracy suffers from certified training with convex relaxations. CoRR (2023)
Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials. CoRR (2023)
Alexandru Tifrea, Eric Stavarache, Fanny Yang
Semi-supervised novelty detection using ensembles with regularized disagreement. UAI (2022)
Konstantin Donhauser, Nicolò Ruggeri, Stefan Stojanovic, Fanny Yang
Fast rates for noisy interpolation require rethinking the effect of inductive bias. ICML (2022)
Konstantin Donhauser, Nicolò Ruggeri, Stefan Stojanovic, Fanny Yang
Fast rates for noisy interpolation require rethinking the effects of inductive bias. CoRR (2022)
Alexandru Tifrea, Jacob Clarysse, Fanny Yang
Uniform versus uncertainty sampling: When being active is less efficient than staying passive. CoRR (2022)
Amartya Sanyal, Yaxi Hu, Fanny Yang
How unfair is private learning? UAI (2022)
Armeen Taeb, Nicolò Ruggeri, Carina Schnuck, Fanny Yang
Provable concept learning for interpretable predictions using variational inference. CoRR (2022)
Jacob Clarysse, Julia Hörmann, Fanny Yang
Why adversarial training can hurt robust accuracy. CoRR (2022)
Stefan Stojanovic, Konstantin Donhauser, Fanny Yang
-margin classifiers. CoRR (2022)
Guillaume Wang, Konstantin Donhauser, Fanny Yang
-norm interpolation of noisy data. AISTATS (2022)
Amartya Sanyal, Yaxi Hu, Fanny Yang
How unfair is private learning ? CoRR (2022)
Konstantin Donhauser, Alexandru Tifrea, Michael Aerni, Reinhard Heckel, Fanny Yang
Interpolation can hurt robust generalization even when there is no noise. CoRR (2021)
Andrii Zadaianchuk, Georg Martius, Fanny Yang
Self-supervised Reinforcement Learning with Independently Controllable Subgoals. CoRR (2021)
Konstantin Donhauser, Mingqi Wu, Fanny Yang
How rotational invariance of common kernels prevents generalization in high dimensions. CoRR (2021)
Konstantin Donhauser, Alexandru Tifrea, Michael Aerni, Reinhard Heckel, Fanny Yang
Interpolation can hurt robust generalization even when there is no noise. NeurIPS (2021)
Andrii Zadaianchuk, Georg Martius, Fanny Yang
Self-supervised Reinforcement Learning with Independently Controllable Subgoals. CoRL (2021)
Guillaume Wang, Konstantin Donhauser, Fanny Yang
Tight bounds for minimum l1-norm interpolation of noisy data. CoRR (2021)
Alexandru Tifrea, Eric Stavarache, Fanny Yang
Novel Disease Detection Using Ensembles with Regularized Disagreement. UNSURE/PIPPI@MICCAI (2021)
Konstantin Donhauser, Mingqi Wu, Fanny Yang
How rotational invariance of common kernels prevents generalization in high dimensions. ICML (2021)
Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang
Understanding and Mitigating the Tradeoff between Robustness and Accuracy. ICML (2020)
Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy. CoRR (2020)
Alexandru Tifrea, Eric Stavarache, Fanny Yang
Learn what you can't learn: Regularized Ensembles for Transductive Out-of-distribution Detection. CoRR (2020)
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar
Regularized Learning for Domain Adaptation under Label Shifts. CoRR (2019)
Yuting Wei, Fanny Yang, Martin J. Wainwright
Early Stopping for Kernel Boosting Algorithms: A General Analysis With Localized Complexities. IEEE Trans. Inf. Theory 65 (10) (2019)
Fanny Yang, Zuowen Wang, Christina Heinze-Deml
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness. CoRR (2019)
Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang
Adversarial Training Can Hurt Generalization. CoRR (2019)
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar
Regularized Learning for Domain Adaptation under Label Shifts. ICLR (Poster) (2019)
Fanny Yang, Zuowen Wang, Christina Heinze-Deml
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness. NeurIPS (2019)
Fanny Yang, Aaditya Ramdas, Kevin G. Jamieson, Martin J. Wainwright
A framework for Multi-A(rmed)/B(andit) testing with online FDR control. CoRR (2017)
Aaditya Ramdas, Fanny Yang, Martin J. Wainwright, Michael I. Jordan
Online control of the false discovery rate with decaying memory. CoRR (2017)
Aaditya Ramdas, Fanny Yang, Martin J. Wainwright, Michael I. Jordan
Online control of the false discovery rate with decaying memory. NIPS (2017)
Yuting Wei, Fanny Yang, Martin J. Wainwright
Early stopping for kernel boosting algorithms: A general analysis with localized complexities. CoRR (2017)
Fanny Yang, Sivaraman Balakrishnan, Martin J. Wainwright
Statistical and Computational Guarantees for the Baum-Welch Algorithm. J. Mach. Learn. Res. 18 (2017)
Yuting Wei, Fanny Yang, Martin J. Wainwright
Early stopping for kernel boosting algorithms: A general analysis with localized complexities. NIPS (2017)
Fanny Yang, Aaditya Ramdas, Kevin G. Jamieson, Martin J. Wainwright
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control. NIPS (2017)
Fanny Yang, Sivaraman Balakrishnan, Martin J. Wainwright
Statistical and Computational Guarantees for the Baum-Welch Algorithm. CoRR (2015)
Fanny Yang, Sivaraman Balakrishnan, Martin J. Wainwright
Statistical and computational guarantees for the Baum-Welch algorithm. Allerton (2015)
Volker Pohl, Çagkan Yapar, Holger Boche, Fanny Yang
A phase retrieval method for signals in modulation-invariant spaces. ICASSP (2014)
Fanny Yang, Volker Pohl, Holger Boche
Phase Retrieval via Structured Modulations in Paley-Wiener Spaces CoRR (2013)
Volker Pohl, Fanny Yang, Holger Boche
Phase retrieval from low rate samples. CoRR (2013)
Volker Pohl, Fanny Yang, Holger Boche
Phaseless Signal Recovery in Infinite Dimensional Spaces using Structured Modulations CoRR (2013)
Volker Pohl, Fanny Yang, Holger Boche
Causal reconstruction kernels for consistent signal recovery. EUSIPCO (2012)

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Publication Activity (10 Years)

Top Topics

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Fanny Yang