Learning Fair Representations for Kernel Models.
Zilong TanSamuel YeomMatt FredriksonAmeet TalwalkarPublished in: AISTATS (2020)
Keyphrases
- learning algorithm
- prior knowledge
- component analysis
- probabilistic model
- accurate models
- learning systems
- structured prediction
- statistical models
- learning tasks
- learning models
- hidden variables
- qualitative models
- external representations
- classification and regression problems
- multiple kernel
- kernel learning
- learning problems
- mobile learning
- unsupervised learning
- online learning
- active learning
- learning process
- feature selection