Learning Flexible and Fair Data Representations
In this paper, we consider the problem of learning fair data representations that can be used for some downstream utility task in the vendor-user setting. We propose splitting the latent space between sensitive and non-sensitive latent variables where maximum mean discrepancy (MMD) is used to induce...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9895225/ |