[HTML][HTML] On the incompatibility of accuracy and equal opportunity
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.(Adv Neural …
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al.(Adv Neural …
On the incompatibility of accuracy and equal opportunity
C Pinzón, C Palamidessi, P Piantanida… - Machine Learning, 2023 - hal.univ-smb.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.(2016) …
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al.(2016) …
[PDF][PDF] On the incompatibility of accuracy and equal opportunity
C Pinzón, C Palamidessi, P Piantanida… - Machine …, 2023 - drive.google.com
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.[13] …
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al.[13] …
On the incompatibility of accuracy and equal opportunity
C Pinzón, C Palamidessi, P Piantanida, F Valencia - Machine Learning, 2023 - 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.(2016) …
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al.(2016) …
On the incompatibility of accuracy and equal opportunity
C Pinzón, C Palamidessi, P Piantanida… - Machine …, 2023 - hal-emse.ccsd.cnrs.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.(2016) …
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al.(2016) …
On the incompatibility of accuracy and equal opportunity
C Pinzón, C Palamidessi, P Piantanida… - Machine …, 2023 - cnrs.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.(2016) …
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al.(2016) …
On the incompatibility of accuracy and equal opportunity
C Pinzón, C Palamidessi, P Piantanida… - Machine …, 2023 - 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.(2016) …
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al.(2016) …
On the incompatibility of accuracy and equal opportunity
C Pinzón, C Palamidessi, P Piantanida… - Machine …, 2023 - polytechnique.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.(2016) …
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al.(2016) …
[PDF][PDF] On the incompatibility of accuracy and equal opportunity
C Pinzón, C Palamidessi, P Piantanida, F Valencia - 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.[13] …
it, one may have to trade off some accuracy. To overcome this issue, Hardt et al.[13] …