Dataset Groups Activity Stream Fair and Optimal Classification via Post-Processing This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors. BibTex: @dataset{Ruicheng_Xian_and_Qiaobo_Li_and_Gautam_Kamath_and_Han_Zhao_2024, abstract = {This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors.}, author = {Ruicheng Xian and Qiaobo Li and Gautam Kamath and Han Zhao}, doi = {10.57702/3lxm8ng0}, institution = {No Organization}, keyword = {'Differential Privacy', 'Fairness', 'Regression'}, month = {dec}, publisher = {TIB}, title = {Fair and Optimal Classification via Post-Processing}, url = {https://service.tib.eu/ldmservice/dataset/fair-and-optimal-classification-via-post-processing}, year = {2024} }
