Zhang, Xuechen, Li, Mingchen, Chen, Jiasi, Thrampoulidis, Christos, and Oymak, Samet. Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. Retrieved from https://par.nsf.gov/biblio/10492347. Proceedings of the AAAI Conference on Artificial Intelligence .

Zhang, Xuechen, Li, Mingchen, Chen, Jiasi, Thrampoulidis, Christos, & Oymak, Samet. Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. Proceedings of the AAAI Conference on Artificial Intelligence, (). Retrieved from https://par.nsf.gov/biblio/10492347.

Zhang, Xuechen, Li, Mingchen, Chen, Jiasi, Thrampoulidis, Christos, and Oymak, Samet. "Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective". Proceedings of the AAAI Conference on Artificial Intelligence (). Country unknown/Code not available: AAAI Association for the Advancement of Artificial Intelligence. https://par.nsf.gov/biblio/10492347.

@article{osti_10492347,
place = {Country unknown/Code not available}, title = {Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective}, url = {https://par.nsf.gov/biblio/10492347}, abstractNote = {}, journal = {Proceedings of the AAAI Conference on Artificial Intelligence}, publisher = {AAAI Association for the Advancement of Artificial Intelligence}, author = {Zhang, Xuechen and Li, Mingchen and Chen, Jiasi and Thrampoulidis, Christos and Oymak, Samet}, }