Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness.
Zhu LiAdrian Perez-SuayGustau Camps-VallsDino SejdinovicPublished in: CoRR (2019)
Keyphrases
- gaussian processes
- kernel parameters
- gaussian process
- covariance function
- gaussian process regression
- multi task learning
- graph kernels
- human pose estimation
- relevance vector machine
- preference learning
- gaussian process models
- multi task
- hyperparameters
- reproducing kernel hilbert space
- model selection
- higher order
- semi supervised
- upper bound
- feature space
- machine learning