{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T02:46:07Z","timestamp":1773888367997,"version":"3.50.1"},"publisher-location":"New York, New York, USA","reference-count":44,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Commission","award":["688363"],"award-info":[{"award-number":["688363"]}]},{"name":"European Commission","award":["687786"],"award-info":[{"award-number":["687786"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3178876.3186133","type":"proceedings-article","created":{"date-parts":[[2018,4,13]],"date-time":"2018-04-13T15:53:48Z","timestamp":1523634828000},"page":"853-862","source":"Crossref","is-referenced-by-count":88,"title":["Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification"],"prefix":"10.1145","author":[{"given":"Emmanouil","family":"Krasanakis","sequence":"first","affiliation":[{"name":"Centre of Research & Technology - Hellas (CERTH), Information Technologies Institute (ITI), Thessaloniki, Greece"}]},{"given":"Eleftherios","family":"Spyromitros-Xioufis","sequence":"additional","affiliation":[{"name":"Centre of Research &Technology - Hellas (CERTH), Information Technologies Institute (ITI), Thessaloniki, Greece"}]},{"given":"Symeon","family":"Papadopoulos","sequence":"additional","affiliation":[{"name":"Centre of Research &Technology - Hellas (CERTH), Information Technologies Institute (ITI), Thessaloniki, Greece"}]},{"given":"Yiannis","family":"Kompatsiaris","sequence":"additional","affiliation":[{"name":"Centre of Research &Technology - Hellas (CERTH), Information Technologies Institute (ITI), Thessaloniki, Greece"}]}],"member":"320","reference":[{"key":"key-10.1145\/3178876.3186133-1","doi-asserted-by":"crossref","unstructured":"Solon Barocas and Andrew D Selbst. 2016. Big data's disparate impact. (2016).","DOI":"10.2139\/ssrn.2477899"},{"key":"key-10.1145\/3178876.3186133-2","unstructured":"Dan Biddle. 2006. Adverse impact and test validation: A practitioner's guide to valid and defensible employment testing. Gower Publishing, Ltd."},{"key":"key-10.1145\/3178876.3186133-3","unstructured":"Toon Calders, Faisal Kamiran, and Mykola Pechenizkiy. 2009. Building classifiers with independency constraints Data mining workshops, 2009. ICDMW'09. IEEE international conference on. IEEE, 13--18."},{"key":"key-10.1145\/3178876.3186133-4","doi-asserted-by":"crossref","unstructured":"Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, and Xiangliang Zhang. 2013. Controlling attribute effect in linear regression. Data Mining (ICDM), 2013 IEEE 13th International Conference on. IEEE, 71--80.","DOI":"10.1109\/ICDM.2013.114"},{"key":"key-10.1145\/3178876.3186133-5","doi-asserted-by":"crossref","unstructured":"Toon Calders and Sicco Verwer. 2010. Three naive Bayes approaches for discrimination-free classification. Data Mining and Knowledge Discovery Vol. 21, 2 (2010), 277--292.","DOI":"10.1007\/s10618-010-0190-x"},{"key":"key-10.1145\/3178876.3186133-6","unstructured":"L Elisa Celis, Damian Straszak, and Nisheeth K Vishnoi. 2017. Ranking with Fairness Constraints. arXiv preprint arXiv:1704.06840 (2017)."},{"key":"key-10.1145\/3178876.3186133-7","doi-asserted-by":"crossref","unstructured":"Alexandra Chouldechova. 2017. Fair prediction with disparate impact: A study of bias in recidivism prediction instruments. arXiv preprint arXiv:1703.00056 (2017).","DOI":"10.1089\/big.2016.0047"},{"key":"key-10.1145\/3178876.3186133-8","doi-asserted-by":"crossref","unstructured":"Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, and Aziz Huq. 2017. Algorithmic decision making and the cost of fairness. arXiv preprint arXiv:1701.08230 (2017).","DOI":"10.1145\/3097983.3098095"},{"key":"key-10.1145\/3178876.3186133-9","doi-asserted-by":"crossref","unstructured":"Georges Dionne and Casey Rothschild. 2014. Economic effects of risk classification bans. The Geneva Risk and Insurance Review Vol. 39, 2 (2014), 184--221.","DOI":"10.1057\/grir.2014.15"},{"key":"key-10.1145\/3178876.3186133-10","unstructured":"Neil A Doherty, Anastasia V Kartasheva, and Richard D Phillips. 2012. Information effect of entry into credit ratings market: The case of insurers' ratings. Journal of Financial Economics Vol. 106, 2 (2012), 308--330."},{"key":"key-10.1145\/3178876.3186133-11","doi-asserted-by":"crossref","unstructured":"Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel. 2012. Fairness through awareness. In Proceedings of the 3rd Innovations in Theoretical Computer Science Conference. ACM, 214--226.","DOI":"10.1145\/2090236.2090255"},{"key":"key-10.1145\/3178876.3186133-12","unstructured":"Michael Feldman. 2015. Computational Fairness: Preventing Machine-Learned Discrimination. (2015)."},{"key":"key-10.1145\/3178876.3186133-13","doi-asserted-by":"crossref","unstructured":"Michael Feldman, Sorelle A Friedler, John Moeller, Carlos Scheidegger, and Suresh Venkatasubramanian. 2015. Certifying and removing disparate impact. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 259--268.","DOI":"10.1145\/2783258.2783311"},{"key":"key-10.1145\/3178876.3186133-14","unstructured":"Daniel E Finkel. 2003. DIRECT optimization algorithm user guide. Center for Research in Scientific Computation, North Carolina State University Vol. 2 (2003)."},{"key":"key-10.1145\/3178876.3186133-15","unstructured":"Daniel E Finkel and CT Kelley. 2004. Convergence analysis of the DIRECT algorithm. Optimization Online, Vol. 14, 2 (2004), 1--10."},{"key":"key-10.1145\/3178876.3186133-16","unstructured":"Benjamin Fish, Jeremy Kun, and Adám D Lelkes. 2015. Fair boosting: a case study. In Workshop on Fairness, Accountability, and Transparency in Machine Learning."},{"key":"key-10.1145\/3178876.3186133-17","unstructured":"Benjamin Fish, Jeremy Kun, and Ádám D Lelkes. 2016. A confidence-based approach for balancing fairness and accuracy Proceedings of the 2016 SIAM International Conference on Data Mining. SIAM, 144--152."},{"key":"key-10.1145\/3178876.3186133-18","unstructured":"Kazuto Fukuchi and Jun Sakuma. 2015. Fairness-Aware Learning with Restriction of Universal Dependency using f-Divergences. arXiv preprint arXiv:1506.07721 (2015)."},{"key":"key-10.1145\/3178876.3186133-19","unstructured":"Gabriel Goh, Andrew Cotter, Maya Gupta, and Michael P Friedlander. 2016. Satisfying Real-world Goals with Dataset Constraints Advances in Neural Information Processing Systems. 2415--2423."},{"key":"key-10.1145\/3178876.3186133-20","unstructured":"Moritz Hardt, Eric Price, Nati Srebro, and others. 2016. Equality of opportunity in supervised learning. In Advances in Neural Information Processing Systems. 3315--3323."},{"key":"key-10.1145\/3178876.3186133-21","doi-asserted-by":"crossref","unstructured":"Qinghua Hu, Pengfei Zhu, Yongbin Yang, and Daren Yu. 2011. Large-margin nearest neighbor classifiers via sample weight learning. Neurocomputing, Vol. 74, 4 (2011), 656--660.","DOI":"10.1016\/j.neucom.2010.09.006"},{"key":"key-10.1145\/3178876.3186133-22","unstructured":"Anatoli Iouditski and Yuri Nesterov. 2014. Primal-dual subgradient methods for minimizing uniformly convex functions. arXiv preprint arXiv:1401.1792 (2014)."},{"key":"key-10.1145\/3178876.3186133-23","unstructured":"Donald R Jones, Cary D Perttunen, and Bruce E Stuckman. 1993. Lipschitzian optimization without the Lipschitz constant. Journal of Optimization Theory and Applications, Vol. 79, 1 (1993), 157--181."},{"key":"key-10.1145\/3178876.3186133-24","doi-asserted-by":"crossref","unstructured":"Faisal Kamiran and Toon Calders. 2009. Classifying without discriminating. In Computer, Control and Communication, 2009. IC4 2009. 2nd International Conference on. IEEE, 1--6.","DOI":"10.1109\/IC4.2009.4909197"},{"key":"key-10.1145\/3178876.3186133-25","doi-asserted-by":"crossref","unstructured":"Faisal Kamiran and Toon Calders. 2012. Data preprocessing techniques for classification without discrimination. Knowledge and Information Systems Vol. 33, 1 (2012), 1--33.","DOI":"10.1007\/s10115-011-0463-8"},{"key":"key-10.1145\/3178876.3186133-26","unstructured":"Faisal Kamiran, Toon Calders, and others. 2011. Handling conditional discrimination. In Proc. of the 11th IEEE Int'l Conf. on Data Mining."},{"key":"key-10.1145\/3178876.3186133-27","doi-asserted-by":"crossref","unstructured":"Faisal Kamiran, Toon Calders, and Mykola Pechenizkiy. 2010. Discrimination aware decision tree learning. In 2010 IEEE International Conference on Data Mining. IEEE, 869--874.","DOI":"10.1109\/ICDM.2010.50"},{"key":"key-10.1145\/3178876.3186133-28","unstructured":"Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, and Jun Sakuma. 2012. Fairness-aware classifier with prejudice remover regularizer Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 35--50."},{"key":"key-10.1145\/3178876.3186133-29","unstructured":"Toshihiro Kamishima, Shotaro Akaho, and Jun Sakuma. 2011. Fairness-aware learning through regularization approach Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on. IEEE, 643--650."},{"key":"key-10.1145\/3178876.3186133-30","unstructured":"Michael Kearns, Seth Neel, Aaron Roth, and Zhiwei Steven Wu. 2017. Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness. arXiv preprint arXiv:1711.05144 (2017)."},{"key":"key-10.1145\/3178876.3186133-31","unstructured":"Jon Kleinberg, Sendhil Mullainathan, and Manish Raghavan. 2016. Inherent trade-offs in the fair determination of risk scores. arXiv preprint arXiv:1609.05807 (2016)."},{"key":"key-10.1145\/3178876.3186133-32","unstructured":"Ron Kohavi. 1996. Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. KDD, Vol. Vol. 96. Citeseer, 202--207."},{"key":"key-10.1145\/3178876.3186133-33","unstructured":"J. Larson, S. Mattu, L. Kirchner, and J. Angwin. 2017. COMPAS dataset. (2017). https:\/\/github.com\/propublica\/compas-analysis"},{"key":"key-10.1145\/3178876.3186133-34","unstructured":"Yuan Li, Chang Huang, and Ram Nevatia. 2009. Learning to associate: Hybridboosted multi-target tracker for crowded scene Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. IEEE, 2953--2960."},{"key":"key-10.1145\/3178876.3186133-35","unstructured":"M. Lichman. 2013. UCI Machine Learning Repository. (2013). http:\/\/archive.ics.uci.edu\/ml"},{"key":"key-10.1145\/3178876.3186133-36","doi-asserted-by":"crossref","unstructured":"Enrico Miglierina and Elena Molho. 2002. Scalarization and stability in vector optimization. Journal of Optimization Theory and Applications, Vol. 114, 3 (2002), 657--670.","DOI":"10.1023\/A:1016031214488"},{"key":"key-10.1145\/3178876.3186133-37","unstructured":"Sergio Moro, Raul Laureano, and Paulo Cortez. 2011. Using data mining for bank direct marketing: An application of the crisp-dm methodology Proceedings of European Simulation and Modelling Conference-ESM'2011. Eurosis, 117--121."},{"key":"key-10.1145\/3178876.3186133-38","doi-asserted-by":"crossref","unstructured":"Shelly L Peffer. 2009. Title VII and disparate-treatment discrimination versus disparate-impact discrimination: The Supreme Court's decision in Ricci v. DeStefano. Review of Public Personnel Administration Vol. 29, 4 (2009), 402--410.","DOI":"10.1177\/0734371X09349442"},{"key":"key-10.1145\/3178876.3186133-39","doi-asserted-by":"crossref","unstructured":"Andrea Romei and Salvatore Ruggieri. 2014. A multidisciplinary survey on discrimination analysis. The Knowledge Engineering Review Vol. 29, 05 (2014), 582--638.","DOI":"10.1017\/S0269888913000039"},{"key":"key-10.1145\/3178876.3186133-40","unstructured":"Robert E Schapire. 2003. The boosting approach to machine learning: An overview. Nonlinear estimation and classification. Springer, 149--171."},{"key":"key-10.1145\/3178876.3186133-41","doi-asserted-by":"crossref","unstructured":"Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, and Krishna P. Gummadi. 2017. Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification Without Disparate Mistreatment. In Proceedings of the 26th International Conference on World Wide Web (WWW '17). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 1171--1180. http:\/\/dx.doi.org\/10.1145\/3038912.3052660","DOI":"10.1145\/3038912.3052660"},{"key":"key-10.1145\/3178876.3186133-42","unstructured":"Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, and Krishna P Gummadi. 2015 a. Fairness constraints: A mechanism for fair classification. stat Vol. 1050 (2015), 19."},{"key":"key-10.1145\/3178876.3186133-43","unstructured":"Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, and Krishna P Gummadi. 2015 b. Learning Fair Classifiers. stat Vol. 1050 (2015), 29."},{"key":"key-10.1145\/3178876.3186133-44","unstructured":"Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rogriguez, and Krishna P Gummadi. 2017. Fairness Constraints: Mechanisms for Fair Classification Artificial Intelligence and Statistics. 962--970."}],"event":{"name":"the 2018 World Wide Web Conference","location":"Lyon, France","acronym":"WWW '18","number":"2018","sponsor":["SIGWEB, ACM Special Interest Group on Hypertext, Hypermedia, and Web","IW3C2, International World Wide Web Conference Committee"],"start":{"date-parts":[[2018,4,23]]},"end":{"date-parts":[[2018,4,27]]}},"container-title":["Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3178876.3186133","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3186133&ftid=1957523&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:11:28Z","timestamp":1750212688000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3178876.3186133"}},"subtitle":[],"proceedings-subject":"World Wide Web","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1145\/3178876.3186133","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}