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20232025
most citedFrom Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling

2 citations · 4 across the 6 of their papers we have counts for

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cs.LG2025

FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents

Yucong Dai, Lu Zhang, Feng Luo +2

Training fair and unbiased machine learning models is crucial for high-stakes applications, yet it presents significant challenges. Effective bias mitigation requires deep expertis…

cs.LG2025

Causally Fair Node Classification on Non-IID Graph Data

Yucong Dai, Lu Zhang, Yaowei Hu +2

Fair machine learning seeks to identify and mitigate biases in predictions against unfavorable populations characterized by demographic attributes, such as race and gender. Recent…