关注
Yves Rychener
Yves Rychener
PHD Candidate, EPFL
在 epfl.ch 的电子邮件经过验证
标题
引用次数
引用次数
年份
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
Y Rychener, D Kuhn, T Sutter
arXiv preprint arXiv:2306.04174, 2023
62023
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
6*2022
Metrizing fairness
Y Rychener, B Taskesen, D Kuhn
arXiv preprint arXiv:2205.15049, 2022
52022
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-Perez, JM Morales, D Kuhn
arXiv preprint arXiv:2407.13582, 2024
2024
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, ...
系统目前无法执行此操作,请稍后再试。
文章 1–7