papers

publications by categories in reversed chronological order. [*] denotes equal contribution.

preprints

                      1. Provable concept learning for interpretable predictions using variational inference
                        Armeen Taeb, Nicolo Ruggeri, Carina Schnuck, and Fanny Yang
                        arXiv preprint, 2022
                      2. Why adversarial training can hurt robust accuracy
                        Jacob Clarysse, Julia Hörmann, and Fanny Yang
                        arXiv preprint, 2022


                                recent publications

                                                    1. How unfair is private learning?
                                                      Amartya Sanyal*, Yaxi Hu*, and Fanny Yang
                                                      Conference on Uncertainty in Artificial Intelligence (UAI), 2022
                                                    2. Semi-supervised novelty detection using ensembles with regularized disagreement
                                                      Alexandru Țifrea, Eric Stavarache, and Fanny Yang
                                                      Conference on Uncertainty in Artificial Intelligence (UAI), 2022
                                                    3. Fast rates for noisy interpolation require rethinking the effects of inductive bias
                                                      Konstantin Donhauser, Nicolo Ruggeri, Stefan Stojanovic, and Fanny Yang
                                                      International Conference on Machine Learning (ICML), 2022
                                                    4. Tight bounds for minimum l1-norm interpolation of noisy data
                                                      Guillaume Wang*, Konstantin Donhauser*, and Fanny Yang
                                                      International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
                                                    1. Self-supervised Reinforcement Learning with Independently Controllable Subgoals
                                                      Andrii Zadaianchuk, Georg Martius, and Fanny Yang
                                                      Conference on Robot Learning (CoRL), 2021
                                                    2. How rotational invariance of common kernels prevents generalization in high dimensions
                                                      Konstantin Donhauser, Mingqi Wu, and Fanny Yang
                                                      International Conference on Machine Learning (ICML), 2021
                                                    3. Interpolation can hurt robust generalization even when there is no noise
                                                      Konstantin Donhauser*, Alexandru Tifrea*, Michael Aerni, Reinhard Heckel, and Fanny Yang
                                                      Neural Information Processing Systems (NeurIPS), 2021
                                                    1. Understanding and Mitigating the Tradeoff between Robustness and Accuracy
                                                      Aditi Raghunathan, Sang Michael Xie, Fanny Yang, John Duchi, and Percy Liang
                                                      International Conference on Machine Learning (ICML), 2020
                                                    1. Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
                                                      Fanny Yang, Zuowen Wang, and Christina Heinze-Deml
                                                      Neural Information Processing Systems (NeurIPS), 2019

                                                        More publications can be found on the respective individual pages