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Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness.
Zhu Li
Adrián Pérez-Suay
Gustau Camps-Valls
Dino Sejdinovic
Published in:
Pattern Recognit. (2022)
Keyphrases
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gaussian processes
kernel parameters
gaussian process
gaussian process regression
covariance function
graph kernels
multi task learning
human pose estimation
relevance vector machine
preference learning
gaussian process models
training data
semi supervised
bayesian framework