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Yves Rychener
Yves Rychener
PHD Candidate, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
Y Rychener, D Kuhn, T Sutter
arXiv preprint arXiv:2306.04174, 2023
92023
On the Granularity of Explanations in Model Agnostic NLP Interpretability
Y Rychener, X Renard, D Seddah, P Frossard, M Detyniecki
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
8*2022
Metrizing fairness
Y Rychener, B Taskesen, D Kuhn
arXiv preprint arXiv:2205.15049, 2022
62022
Quackie: A NLP classification task with ground truth explanations
Y Rychener, X Renard, D Seddah, P Frossard, M Detyniecki
arXiv preprint arXiv:2012.13190, 2020
32020
Wasserstein distributionally robust optimization with heterogeneous data sources
Y Rychener, A Esteban-Pérez, JM Morales, D Kuhn
arXiv preprint arXiv:2407.13582, 2024
12024
A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set
MC Yue, Y Rychener, D Kuhn, VA Nguyen
arXiv preprint arXiv:2405.20124, 2024
2024
RAO
Y Hu, W Jongeneel, C Kocyigit, D Kuhn, D Lauinger, M Li, ...
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Articles 1–7