Fair Generative Modeling via Weak Supervision

26 Oct 2019Aditya GroverKristy ChoiRui ShuStefano Ermon

Real-world datasets are often biased with respect to key demographic factors such as race and gender. Due to the latent nature of the underlying factors, detecting and mitigating bias is especially challenging for unsupervised machine learning... (read more)

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