Yves Rychener

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Conceptual Model

Stochastic Optimization

Top Venues

PKDD/ECML Workshops (1)

Publications

Man-Chung Yue, Yves Rychener, Daniel Kuhn, Viet Anh Nguyen
A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set. CoRR (2024)
Yves Rychener, Daniel Kuhn Tobias Sutter
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective. CoRR (2023)
Yves Rychener, Daniel Kuhn, Tobias Sutter
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective. ICML (2023)
Yves Rychener, Bahar Taskesen, Daniel Kuhn
Metrizing Fairness. CoRR (2022)
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
On the Granularity of Explanations in Model Agnostic NLP Interpretability. PKDD/ECML Workshops (1) (2022)
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
QUACKIE: A NLP Classification Task With Ground Truth Explanations. CoRR (2020)
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
Sentence-Based Model Agnostic NLP Interpretability. CoRR (2020)