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Found 2 papers, 2 papers with code
Statistical Inference for Fairness Auditing
Our methods can be used to flag subpopulations affected by model underperformance, and certify subpopulations for which the model performs adequately.
Efficient hyperparameter optimization by way of PAC-Bayes bound minimization
Identifying optimal values for a high-dimensional set of hyperparameters is a problem that has received growing attention given its importance to large-scale machine learning applications such as neural architecture search.
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