On the impossibility of non-trivial accuracy in presence of fairness constraints

C Pinzón, C Palamidessi, P Piantanida… - Proceedings of the AAAI …, 2022 - ojs.aaai.org
One of the main concerns about fairness in machine learning (ML) is that, in order to achieve
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al. proposed …
被引用次数：8 相关文章

On the Impossibility of non-Trivial Accuracy in Presence of Fairness Constraints

C Pinzón, C Palamidessi, P Piantanida… - Proceedings of the AAAI …, 2022 - hal.science
One of the main concerns about fairness in machine learning (ML) is that, in order to achieve
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al. proposed …
[PDF] aaai.org

[PDF][PDF] On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints

C Pinzón, C Palamidessi, P Piantanida, F Valencia - 2022 - cdn.aaai.org
One of the main concerns about fairness in machine learning (ML) is that, in order to achieve
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al. proposed …

On the Impossibility of non-Trivial Accuracy in Presence of Fairness Constraints

C Pinzón, C Palamidessi, P Piantanida… - Proceedings of the …, 2022 - hal.umontpellier.fr
One of the main concerns about fairness in machine learning (ML) is that, in order to achieve
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al. proposed …
[PDF] archive.org

[PDF][PDF] On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints

C Pinzón, C Palamidessi, P Piantanida, F Valencia - 2022 - scholar.archive.org
One of the main concerns about fairness in machine learning (ML) is that, in order to achieve
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al. proposed …
[PDF] openreview.net

[PDF][PDF] On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints

C Pinzón, C Palamidessi, P Piantanida, F Valencia - 2022 - openreview.net
One of the main concerns about fairness in machine learning (ML) is that, in order to achieve
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al. proposed …

On the Impossibility of non-Trivial Accuracy in Presence of Fairness Constraints

C Pinzón, C Palamidessi, P Piantanida… - Proceedings of the …, 2022 - inria.hal.science
One of the main concerns about fairness in machine learning (ML) is that, in order to achieve
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al. proposed …