1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Is Fairness Truly Fair? Towards Reliable Lipschitz Fairness in Multi-Task Learning via Fixed-\texorpdfstring{}{delta} Alignment
Junbo Ding, Xin Zang, Chenchen Pan +3
Lipschitz-style individual fairness formalizes the idea that semantically similar examples should receive similar predictions, but its evaluation in multi-task learning (MTL) can b…
physics.chem-ph2024★ 1 cited
Fault-tolerant Quantum Chemical Calculations with Improved Machine-Learning Models
Kai Yuan, Shuai Zhou, Ning Li +4
Easy and effective usage of computational resources is crucial for scientific calculations. Following our recent work of machine-learning (ML) assisted scheduling optimization [Ref…