Fair Regression: Quantitative Definitions and Reduction-Based Algorithms
Alekh Agarwal, Miro Dudík, Zhiwei Steven Wu
36th International Conference on Machine Learning | September 2019
Alekh Agarwal, Miro Dudík, Zhiwei Steven Wu
36th International Conference on Machine Learning | September 2019
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
ICML 2019 | June 2019
Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou
Proceedings of the 36th International Conference on Machine Learning (ICML) | June 2019
Spotlight Presentation
Geoffrey Roeder, Paul Grant, Andrew Phillips, Neil Dalchau, Ted Meeds
ICML 2019 | June 2019
Alekh Agarwal, Miro Dudík, Zhiwei Steven Wu
36th International Conference on Machine Learning | September 2019
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
ICML 2019 | June 2019
Geoffrey Roeder, Paul Grant, Andrew Phillips, Neil Dalchau, Ted Meeds
ICML 2019 | June 2019
Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou
Proceedings of the 36th International Conference on Machine Learning (ICML) | June 2019
Spotlight Presentation
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
ICML 2019 | June 2019
Alekh Agarwal, Miro Dudík, Zhiwei Steven Wu
36th International Conference on Machine Learning | September 2019
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
ICML 2019 | June 2019
Geoffrey Roeder, Paul Grant, Andrew Phillips, Neil Dalchau, Ted Meeds
ICML 2019 | June 2019
Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou
Proceedings of the 36th International Conference on Machine Learning (ICML) | June 2019
Spotlight Presentation