Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Nijdam, Thijmen"'
In this study, we undertake a reproducibility analysis of 'Learning Fair Graph Representations Via Automated Data Augmentations' by Ling et al. (2022). We assess the validity of the original claims focused on node classification tasks and explore the
Externí odkaz:
http://arxiv.org/abs/2409.00421
Conformal prediction offers a practical framework for distribution-free uncertainty quantification, providing finite-sample coverage guarantees under relatively mild assumptions on data exchangeability. However, these assumptions cease to hold for ti
Externí odkaz:
http://arxiv.org/abs/2406.16766