1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
GRIT: Out-of-Distribution Robustness from Finite and Noisy Invariant Pairs
Ruqi Bai, Yao Ji, Easton Currie +3
Predictors often exploit spurious correlations that fail under distribution shift, undermining out-of-distribution (OOD) robustness. Invariant pairs, such as the same object photog…
cs.LG2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
Zeyu Zhou, Tianci Liu, Ruqi Bai +3
In high-stake domains such as healthcare and hiring, the role of machine learning (ML) in decision-making raises significant fairness concerns. This work focuses on Counterfactual…
cs.LG2023★ 1 cited
Robust Collaborative Inference with Vertically Split Data Over Dynamic Device Environments
Surojit Ganguli, Zeyu Zhou, Christopher G. Brinton +1
When each edge device of a network only perceives a local part of the environment, collaborative inference across multiple devices is often needed to predict global properties of t…