2026
Noise Tolerance of Distributionally Robust Learning
ICLR 2026poster
Given the importance of building robust machine learning models, considerable efforts have recently been put into developing training strategies that achieve robustness to outliers and adversarial attacks. Yet, a major aspect that remains an open problem is systematic robustness to global forms of n…