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Found 3 papers, 2 papers with code
Tuning Fairness by Balancing Target Labels
The issue of fairness in machine learning models has recently attracted a lot of attention as ensuring it will ensure continued confidence of the general public in the deployment of machine learning systems.
Multivariate Gaussian and Student$-t$ Process Regression for Multi-output Prediction
Gaussian process model for vector-valued function has been shown to be useful for multi-output prediction.
How priors of initial hyperparameters affect Gaussian process regression models
The hyperparameters in Gaussian process regression (GPR) model with a specified kernel are often estimated from the data via the maximum marginal likelihood.
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