ML Anthology

Yang, Fanny

43 publications

ICLR 2025 Copyright-Protected Language Generation via Adaptive Model Fusion Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang
ICLR 2025 Doubly Robust Identification of Treatment Effects from Multiple Environments Piersilvio De Bartolomeis, Julia Kostin, Javier Abad, Yixin Wang, Fanny Yang
NeurIPS 2025 Efficient Randomized Experiments Using Foundation Models Piersilvio De Bartolomeis, Javier Abad, Guanbo Wang, Konstantin Donhauser, Raymond M Duch, Fanny Yang, Issa Dahabreh
ICLRW 2025 Efficient Randomized Experiments Using Foundation Models Piersilvio De Bartolomeis, Javier Abad, Guanbo Wang, Konstantin Donhauser, Raymond M Duch, Fanny Yang, Issa Dahabreh
AISTATS 2025 Learning Pareto Manifolds in High Dimensions: How Can Regularization Help? Tobias Wegel, Filip Kovačević, Alexandru Tifrea, Fanny Yang
NeurIPS 2025 On the Sample Complexity of Semi-Supervised Multi-Objective Learning Tobias Wegel, Geelon So, Junhyung Park, Fanny Yang
NeurIPS 2024 Achievable Distributional Robustness When the Robust Risk Is Only Partially Identified Julia Kostin, Nicola Gnecco, Fanny Yang
AISTATS 2024 Certified Private Data Release for Sparse Lipschitz Functions Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang
UAI 2024 Detecting Critical Treatment Effect Bias in Small Subgroups Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang
ICMLW 2024 Detecting Critical Treatment Effect Bias in Small Subgroups Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang
AISTATS 2024 Hidden yet Quantifiable: A Lower Bound for Confounding Strength Using Randomized Trials Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang
ICML 2024 Minimum Norm Interpolation Meets the Local Theory of Banach Spaces Gil Kur, Pedro Abdalla, Pierre Bizeul, Fanny Yang
ICML 2024 Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent Konstantin Donhauser, Javier Abad, Neha Hulkund, Fanny Yang
NeurIPS 2024 Robust Mixture Learning When Outliers Overwhelm Small Groups Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel, Alexander Wolters, Gleb Novikov, Amartya Sanyal, David Steurer, Fanny Yang
ICMLW 2024 Strong Copyright Protection for Language Models via Adaptive Model Fusion Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang
ALT 2024 Tight Bounds for Maximum $\ell_1$-Margin Classifiers Stefan Stojanovic, Konstantin Donhauser, Fanny Yang
NeurIPS 2023 Can Semi-Supervised Learning Use All the Data Effectively? a Lower Bound Perspective Alexandru Tifrea, Gizem Yüce, Amartya Sanyal, Fanny Yang
ICLRW 2023 How to Make Semi-Private Learning Effective Francesco Pinto, Yaxi Hu, Fanny Yang, Amartya Sanyal
NeurIPSW 2023 Improving Class and Group Imbalanced Classification with Uncertainty-Based Active Learning Alexandru Tifrea, John Hill, Fanny Yang
ICML 2023 Margin-Based Sampling in High Dimensions: When Being Active Is Less Efficient than Staying Passive Alexandru Tifrea, Jacob Clarysse, Fanny Yang
ICLR 2023 Strong Inductive Biases Provably Prevent Harmless Interpolation Michael Aerni, Marco Milanta, Konstantin Donhauser, Fanny Yang
ICLR 2023 Why Adversarial Training Can Hurt Robust Accuracy Jacob Clarysse, Julia Hörrmann, Fanny Yang
AISTATS 2022 Tight Bounds for Minimum $\ell_1$-Norm Interpolation of Noisy Data Guillaume Wang, Konstantin Donhauser, Fanny Yang
NeurIPSW 2022 Certified Defences Hurt Generalisation Piersilvio De Bartolomeis, Jacob Clarysse, Fanny Yang, Amartya Sanyal
NeurIPSW 2022 Certified Defences Hurt Generalisation Piersilvio De Bartolomeis, Jacob Clarysse, Fanny Yang, Amartya Sanyal
ICML 2022 Fast Rates for Noisy Interpolation Require Rethinking the Effect of Inductive Bias Konstantin Donhauser, Nicolò Ruggeri, Stefan Stojanovic, Fanny Yang
UAI 2022 How Unfair Is Private Learning? Amartya Sanyal, Yaxi Hu, Fanny Yang
ICMLW 2022 Provable Concept Learning for Interpretable Predictions Using Variational Autoencoders Armeen Taeb, Nicolò Ruggeri, Carina Schnuck, Fanny Yang
UAI 2022 Semi-Supervised Novelty Detection Using Ensembles with Regularized Disagreement Alexandru Tifrea, Eric Stavarache, Fanny Yang
NeurIPSW 2021 Boosting Worst-Group Accuracy Without Group Annotations Vincent Bardenhagen, Alexandru Tifrea, Fanny Yang
ICML 2021 How Rotational Invariance of Common Kernels Prevents Generalization in High Dimensions Konstantin Donhauser, Mingqi Wu, Fanny Yang
NeurIPS 2021 Interpolation Can Hurt Robust Generalization Even When There Is No Noise Konstantin Donhauser, Alexandru Tifrea, Michael Aerni, Reinhard Heckel, Fanny Yang
ICMLW 2021 Maximizing the Robust Margin Provably Overfits on Noiseless Data Konstantin Donhauser, Alexandru Tifrea, Michael Aerni, Reinhard Heckel, Fanny Yang
CoRL 2021 Self-Supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk, Georg Martius, Fanny Yang
ICML 2020 Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John Duchi, Percy Liang
ICMLW 2019 Adversarial Training Can Hurt Generalization Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John Duchi, Percy Liang
NeurIPS 2019 Invariance-Inducing Regularization Using Worst-Case Transformations Suffices to Boost Accuracy and Spatial Robustness Fanny Yang, Zuowen Wang, Christina Heinze-Deml
ICMLW 2019 Invariance-Inducing Regularization Using Worst-Case Transformations Suffices to Boost Accuracy and Spatial Robustness Fanny Yang, Zuowen Wang, Christina Heinze-Deml
ICLR 2019 Regularized Learning for Domain Adaptation Under Label Shifts Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar
NeurIPS 2017 A Framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control Fanny Yang, Aaditya Ramdas, Kevin G. Jamieson, Martin J. Wainwright
NeurIPS 2017 Early Stopping for Kernel Boosting Algorithms: A General Analysis with Localized Complexities Yuting Wei, Fanny Yang, Martin J. Wainwright
NeurIPS 2017 Online Control of the False Discovery Rate with Decaying Memory Aaditya Ramdas, Fanny Yang, Martin J. Wainwright, Michael I Jordan
JMLR 2017 Statistical and Computational Guarantees for the Baum-Welch Algorithm Fanny Yang, Sivaraman Balakrishnan, Martin J. Wainwright