Dataset Groups Activity Stream Fair and Private Post-Processing for Attribute-Aware Fair Regression 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/j85jqjg4}, institution = {No Organization}, keyword = {'Differential Privacy', 'Fairness', 'Regression'}, month = {dec}, publisher = {TIB}, title = {Fair and Private Post-Processing for Attribute-Aware Fair Regression}, url = {https://service.tib.eu/ldmservice/dataset/fair-and-private-post-processing-for-attribute-aware-fair-regression}, year = {2024} }
