Learning Fair Representations for Kernel Models

Zilong Tan, Samuel Yeom, Matt Fredrikson +1

Fair representations are a powerful tool for establishing criteria like statistical parity, proxy non-discrimination, and equality of opportunity in learned models. Existing techni…