| 2025 | AISTATS | Learning Pareto manifolds in high dimensions: How can regularization help? | Tobias Wegel, Filip Kovacevic, Alexandru Tifrea, Fanny Yang |
| 2025 | ICLR | Copyright-Protected Language Generation via Adaptive Model Fusion. | Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang |
| 2025 | ICLR | Doubly robust identification of treatment effects from multiple environments. | Piersilvio De Bartolomeis, Julia Kostin, Javier Abad, Yixin Wang, Fanny Yang |
| 2024 | AISTATS | Hidden yet quantifiable: A lower bound for confounding strength using randomized trials. | Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang |
| 2024 | AISTATS | Certified private data release for sparse Lipschitz functions. | Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hnig, Fanny Yang |
| 2024 | ALT | Tight bounds for maximum ℓ | Stefan Stojanovic, Konstantin Donhauser, Fanny Yang |
| 2024 | ICML | Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent. | Konstantin Donhauser, Javier Abad Martinez, Neha Hulkund, Fanny Yang |
| 2024 | ICML | Minimum Norm Interpolation Meets The Local Theory of Banach Spaces. | Gil Kur, Pedro Abdalla, Pierre Bizeul, Fanny Yang |
| 2024 | UAI | Detecting critical treatment effect bias in small subgroups. | Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang |
| 2023 | ICLR | Strong inductive biases provably prevent harmless interpolation. | Michael Aerni, Marco Milanta, Konstantin Donhauser, Fanny Yang |
| 2023 | ICLR | Why adversarial training can hurt robust accuracy. | Jacob Clarysse, Julia Hrrmann, Fanny Yang |
| 2023 | ICML | Margin-based sampling in high dimensions: When being active is less efficient than staying passive. | Alexandru Tifrea, Jacob Clarysse, Fanny Yang |
| 2022 | AISTATS | Tight bounds for minimum ℓ | Guillaume Wang, Konstantin Donhauser, Fanny Yang |
| 2022 | ICML | Fast rates for noisy interpolation require rethinking the effect of inductive bias. | Konstantin Donhauser, Nicol Ruggeri, Stefan Stojanovic, Fanny Yang |
| 2022 | UAI | How unfair is private learning? | Amartya Sanyal, Yaxi Hu, Fanny Yang |
| 2022 | UAI | Semi-supervised novelty detection using ensembles with regularized disagreement. | Alexandru Tifrea, Eric Stavarache, Fanny Yang |
| 2021 | CoRL | Self-supervised Reinforcement Learning with Independently Controllable Subgoals. | Andrii Zadaianchuk, Georg Martius, Fanny Yang |
| 2021 | ICML | How rotational invariance of common kernels prevents generalization in high dimensions. | Konstantin Donhauser, Mingqi Wu, Fanny Yang |
| 2021 | MICCAI | Novel Disease Detection Using Ensembles with Regularized Disagreement. | Alexandru Tifrea, Eric Stavarache, Fanny Yang |
| 2020 | ICML | Understanding and Mitigating the Tradeoff between Robustness and Accuracy. | Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John C. Duchi, Percy Liang |
| 2019 | ICLR | Regularized Learning for Domain Adaptation under Label Shifts. | Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar |
| 2014 | ICASSP | A phase retrieval method for signals in modulation-invariant spaces. | Volker Pohl, agkan Yapar, Holger Boche, Fanny Yang |