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Found 2 papers, 1 papers with code
Auditing Fairness under Unobserved Confounding
The presence of inequity is a fundamental problem in the outcomes of decision-making systems, especially when human lives are at stake.
Bayesian Neural Networks with Domain Knowledge Priors
Bayesian neural networks (BNNs) have recently gained popularity due to their ability to quantify model uncertainty.
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