{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T21:49:27Z","timestamp":1771710567048,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T00:00:00Z","timestamp":1686528000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Marie Sklodowska-Curie Actions","award":["860630"],"award-info":[{"award-number":["860630"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,12]]},"DOI":"10.1145\/3593013.3594008","type":"proceedings-article","created":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T14:40:46Z","timestamp":1686580846000},"page":"423-433","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Domain Adaptive Decision Trees: Implications for Accuracy and Fairness"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9412-9013","authenticated-orcid":false,"given":"Jose M.","family":"Alvarez","sequence":"first","affiliation":[{"name":"Scuola Normale Superiore, University of Pisa, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3920-5017","authenticated-orcid":false,"given":"Kristen M.","family":"Scott","sequence":"additional","affiliation":[{"name":"KU Leuven, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8003-3413","authenticated-orcid":false,"given":"Bettina","family":"Berendt","sequence":"additional","affiliation":[{"name":"TU Berlin, Weizenbaum Institute, Germany and KU Leuven, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1917-6087","authenticated-orcid":false,"given":"Salvatore","family":"Ruggieri","sequence":"additional","affiliation":[{"name":"University of Pisa, Italy"}]}],"member":"320","published-online":{"date-parts":[[2023,6,12]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2697056"},{"key":"e_1_3_2_2_2_1","unstructured":"Solon Barocas Moritz Hardt and Arvind Narayanan. 2019. Fairness and Machine Learning. fairmlbook.org. http:\/\/www.fairmlbook.org.  Solon Barocas Moritz Hardt and Arvind Narayanan. 2019. Fairness and Machine Learning. fairmlbook.org. http:\/\/www.fairmlbook.org."},{"key":"e_1_3_2_2_3_1","volume-title":"FAT(Proceedings of Machine Learning Research","volume":"91","author":"Buolamwini Joy","year":"2018","unstructured":"Joy Buolamwini and Timnit Gebru . 2018 . Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification . In FAT(Proceedings of Machine Learning Research , Vol. 81). PMLR, 77\u2013 91 . Joy Buolamwini and Timnit Gebru. 2018. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In FAT(Proceedings of Machine Learning Research, Vol. 81). PMLR, 77\u201391."},{"key":"e_1_3_2_2_4_1","volume-title":"Thomas","author":"Cover Thomas M.","year":"2001","unstructured":"Thomas M. Cover and Joy A . Thomas . 2001 . Elements of Information Theory. Wiley . Thomas M. Cover and Joy A. Thomas. 2001. Elements of Information Theory. Wiley."},{"key":"e_1_3_2_2_5_1","volume-title":"Klein","author":"D\u2019Ignazio Catherine","year":"2020","unstructured":"Catherine D\u2019Ignazio and Lauren F . Klein . 2020 . Data Feminism. The MIT Press . Catherine D\u2019Ignazio and Lauren F. Klein. 2020. Data Feminism. The MIT Press."},{"key":"e_1_3_2_2_6_1","volume-title":"Retiring Adult: New Datasets for Fair Machine Learning. In NeurIPS. 6478\u20136490.","author":"Ding Frances","year":"2021","unstructured":"Frances Ding , Moritz Hardt , John Miller , and Ludwig Schmidt . 2021 . Retiring Adult: New Datasets for Fair Machine Learning. In NeurIPS. 6478\u20136490. Frances Ding, Moritz Hardt, John Miller, and Ludwig Schmidt. 2021. Retiring Adult: New Datasets for Fair Machine Learning. In NeurIPS. 6478\u20136490."},{"key":"e_1_3_2_2_7_1","volume-title":"Varshney","author":"Dutta Sanghamitra","year":"2020","unstructured":"Sanghamitra Dutta , Dennis Wei , Hazar Yueksel , Pin-Yu Chen , Sijia Liu , and Kush R . Varshney . 2020 . Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing. In ICML(Proceedings of Machine Learning Research , Vol. 119). PMLR, 2803\u2013 2813 . Sanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu, and Kush R. Varshney. 2020. Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing. In ICML(Proceedings of Machine Learning Research, Vol. 119). PMLR, 2803\u20132813."},{"key":"e_1_3_2_2_8_1","volume-title":"Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence","author":"European Commission","year":"2021","unstructured":"European Commission . 2021. Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence ( Artificial Intelligence Act) and Amending Certain Union Legislative Acts . https:\/\/eur-lex.europa.eu\/legal-content\/EN\/TXT\/?uri=celex%3A5 2021 PC0206, accessed on January 2nd, 2023. European Commission. 2021. Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts. https:\/\/eur-lex.europa.eu\/legal-content\/EN\/TXT\/?uri=celex%3A52021PC0206, accessed on January 2nd, 2023."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-018-1257-z"},{"key":"e_1_3_2_2_10_1","unstructured":"L\u00e9o Grinsztajn Edouard Oyallon and Ga\u00ebl Varoquaux. 2022. Why do tree-based models still outperform deep learning on typical tabular data?. In NeurIPS.  L\u00e9o Grinsztajn Edouard Oyallon and Ga\u00ebl Varoquaux. 2022. Why do tree-based models still outperform deep learning on typical tabular data?. In NeurIPS."},{"key":"e_1_3_2_2_11_1","volume-title":"Reports on Mathematical Physic 2, 3","author":"Guiasu Silviu","year":"1971","unstructured":"Silviu Guiasu . 1971. Weighted Entropy . Reports on Mathematical Physic 2, 3 ( 1971 ). Silviu Guiasu. 1971. Weighted Entropy. Reports on Mathematical Physic 2, 3 (1971)."},{"key":"e_1_3_2_2_12_1","volume-title":"Equality of Opportunity in Supervised Learning. In Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016","author":"Hardt Moritz","year":"2016","unstructured":"Moritz Hardt , Eric Price , and Nati Srebro . 2016 . Equality of Opportunity in Supervised Learning. In Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016 , December 5-10, 2016, Barcelona, Spain. Moritz Hardt, Eric Price, and Nati Srebro. 2016. Equality of Opportunity in Supervised Learning. In Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain."},{"key":"e_1_3_2_2_13_1","volume-title":"The elements of statistical learning: data mining, inference, and prediction","author":"Hastie Trevor","unstructured":"Trevor Hastie , Robert Tibshirani , Jerome H Friedman , and Jerome H Friedman . 2009. The elements of statistical learning: data mining, inference, and prediction . Vol. 2 . Springer . Trevor Hastie, Robert Tibshirani, Jerome H Friedman, and Jerome H Friedman. 2009. The elements of statistical learning: data mining, inference, and prediction. Vol. 2. Springer."},{"key":"e_1_3_2_2_14_1","volume-title":"Algorithmic Design: Fairness Versus Accuracy. In EC. ACM, 58\u201359.","author":"Liang Annie","year":"2022","unstructured":"Annie Liang , Jay Lu , and Xiaosheng Mu . 2022 . Algorithmic Design: Fairness Versus Accuracy. In EC. ACM, 58\u201359. Annie Liang, Jay Lu, and Xiaosheng Mu. 2022. Algorithmic Design: Fairness Versus Accuracy. In EC. ACM, 58\u201359."},{"key":"e_1_3_2_2_15_1","unstructured":"Subha Maity Debarghya Mukherjee Mikhail Yurochkin and Yuekai Sun. 2021. Does enforcing fairness mitigate biases caused by subpopulation shift?. In NeurIPS. 25773\u201325784.  Subha Maity Debarghya Mukherjee Mikhail Yurochkin and Yuekai Sun. 2021. Does enforcing fairness mitigate biases caused by subpopulation shift?. In NeurIPS. 25773\u201325784."},{"key":"e_1_3_2_2_16_1","volume-title":"Renyi and Tsallis Entropy Used in Decision Trees. In ICAISC(Lecture Notes in Computer Science","volume":"651","author":"Maszczyk Tomasz","year":"2008","unstructured":"Tomasz Maszczyk and Wlodzislaw Duch . 2008 . Comparison of Shannon , Renyi and Tsallis Entropy Used in Decision Trees. In ICAISC(Lecture Notes in Computer Science , Vol. 5097). Springer, 643\u2013 651 . Tomasz Maszczyk and Wlodzislaw Duch. 2008. Comparison of Shannon, Renyi and Tsallis Entropy Used in Decision Trees. In ICAISC(Lecture Notes in Computer Science, Vol. 5097). Springer, 643\u2013651."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.06.019"},{"key":"e_1_3_2_2_18_1","unstructured":"Debarghya Mukherjee Felix Petersen Mikhail Yurochkin and Yuekai Sun. 2022. Domain Adaptation meets Individual Fairness. And they get along. In NeurIPS.  Debarghya Mukherjee Felix Petersen Mikhail Yurochkin and Yuekai Sun. 2022. Domain Adaptation meets Individual Fairness. And they get along. In NeurIPS."},{"key":"e_1_3_2_2_19_1","volume-title":"Revisited","author":"Nemenman Ilya","unstructured":"Ilya Nemenman , F. Shafee , and William Bialek . 2001. Entropy and Inference , Revisited . In NIPS. MIT Press , 471\u2013478. Ilya Nemenman, F. Shafee, and William Bialek. 2001. Entropy and Inference, Revisited. In NIPS. MIT Press, 471\u2013478."},{"key":"e_1_3_2_2_20_1","unstructured":"Sebastian Nowozin. 2012. Improved Information Gain Estimates for Decision Tree Induction. In ICML. icml.cc \/ Omnipress.  Sebastian Nowozin. 2012. Improved Information Gain Estimates for Decision Tree Induction. In ICML. icml.cc \/ Omnipress."},{"key":"e_1_3_2_2_21_1","volume-title":"Introduction to Data Mining","author":"Pang-Ning Tan Vipin Kumar","unstructured":"Vipin Kumar Pang-Ning Tan , Michael Steinbach . 2006. Introduction to Data Mining . Addison Wesley . Vipin Kumar Pang-Ning Tan, Michael Steinbach. 2006. Introduction to Data Mining. Addison Wesley."},{"key":"e_1_3_2_2_22_1","volume-title":"Dataset shift in machine learning","author":"Qui\u00f1onero-Candela Joaquin","unstructured":"Joaquin Qui\u00f1onero-Candela , Masashi Sugiyama , Neil D Lawrence , and Anton Schwaighofer . 2009. Dataset shift in machine learning . MIT Press . Joaquin Qui\u00f1onero-Candela, Masashi Sugiyama, Neil D Lawrence, and Anton Schwaighofer. 2009. Dataset shift in machine learning. MIT Press."},{"key":"e_1_3_2_2_23_1","volume-title":"A survey on domain adaptation theory. CoRR abs\/2004.11829","author":"Redko Ievgen","year":"2020","unstructured":"Ievgen Redko , Emilie Morvant , Amaury Habrard , Marc Sebban , and Youn\u00e8s Bennani . 2020. A survey on domain adaptation theory. CoRR abs\/2004.11829 ( 2020 ). Ievgen Redko, Emilie Morvant, Amaury Habrard, Marc Sebban, and Youn\u00e8s Bennani. 2020. A survey on domain adaptation theory. CoRR abs\/2004.11829 (2020)."},{"key":"e_1_3_2_2_24_1","volume-title":"A renaissance for decision tree learning. https:\/\/www.youtube.com\/watch?v=bY7WEr6lcuY. Keynote at PAPIs","author":"Rudin Cynthia","year":"2016","unstructured":"Cynthia Rudin . 2016. A renaissance for decision tree learning. https:\/\/www.youtube.com\/watch?v=bY7WEr6lcuY. Keynote at PAPIs 2016 .. Cynthia Rudin. 2016. A renaissance for decision tree learning. https:\/\/www.youtube.com\/watch?v=bY7WEr6lcuY. Keynote at PAPIs 2016.."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0048-x"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1088\/0305-4470\/37\/27\/L02"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1951.tb00088.x"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113375"},{"key":"e_1_3_2_2_29_1","first-page":"1","article-title":"A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle","volume":"17","author":"Suresh Harini","year":"2021","unstructured":"Harini Suresh and John V. Guttag . 2021 . A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle . In EAAMO. ACM , 17 : 1 \u2013 17 :9. Harini Suresh and John V. Guttag. 2021. A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle. In EAAMO. ACM, 17:1\u201317:9.","journal-title":"EAAMO. ACM"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1002\/int.22354"},{"key":"e_1_3_2_2_31_1","volume-title":"CSWS(Communications in Computer and Information Science","volume":"55","author":"Vieira Jo\u00e3o","year":"2014","unstructured":"Jo\u00e3o Vieira and Cl\u00e1udia Antunes . 2014 . Decision Tree Learner in the Presence of Domain Knowledge . In CSWS(Communications in Computer and Information Science , Vol. 480). Springer, 42\u2013 55 . Jo\u00e3o Vieira and Cl\u00e1udia Antunes. 2014. Decision Tree Learner in the Presence of Domain Knowledge. In CSWS(Communications in Computer and Information Science, Vol. 480). Springer, 42\u201355."},{"key":"e_1_3_2_2_32_1","volume-title":"Accessed on January 2nd","author":"House White","year":"2022","unstructured":"White House . 2022 . Blueprint for an AI Bill of Rights. https:\/\/www.whitehouse.gov\/ostp\/ai-bill-of-rights\/ . Accessed on January 2nd , 2023. White House. 2022. Blueprint for an AI Bill of Rights. https:\/\/www.whitehouse.gov\/ostp\/ai-bill-of-rights\/. Accessed on January 2nd, 2023."},{"key":"e_1_3_2_2_33_1","volume-title":"ICML (3)(JMLR Workshop and Conference Proceedings","author":"Zhang Kun","unstructured":"Kun Zhang , Bernhard Sch\u00f6lkopf , Krikamol Muandet , and Zhikun Wang . 2013. Domain Adaptation under Target and Conditional Shift . In ICML (3)(JMLR Workshop and Conference Proceedings , Vol. 28). JMLR.org, 819\u2013 827 . Kun Zhang, Bernhard Sch\u00f6lkopf, Krikamol Muandet, and Zhikun Wang. 2013. Domain Adaptation under Target and Conditional Shift. In ICML (3)(JMLR Workshop and Conference Proceedings, Vol. 28). JMLR.org, 819\u2013827."},{"key":"e_1_3_2_2_34_1","volume-title":"DS(Lecture Notes in Computer Science","volume":"189","author":"Zhang Wenbin","year":"2020","unstructured":"Wenbin Zhang and Albert Bifet . 2020 . FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier . In DS(Lecture Notes in Computer Science , Vol. 12323). Springer, 175\u2013 189 . Wenbin Zhang and Albert Bifet. 2020. FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier. In DS(Lecture Notes in Computer Science, Vol. 12323). Springer, 175\u2013189."},{"key":"e_1_3_2_2_35_1","volume-title":"FAHT: An Adaptive Fairness-aware Decision Tree Classifier. In IJCAI. ijcai.org, 1480\u20131486.","author":"Zhang Wenbin","year":"2019","unstructured":"Wenbin Zhang and Eirini Ntoutsi . 2019 . FAHT: An Adaptive Fairness-aware Decision Tree Classifier. In IJCAI. ijcai.org, 1480\u20131486. Wenbin Zhang and Eirini Ntoutsi. 2019. FAHT: An Adaptive Fairness-aware Decision Tree Classifier. In IJCAI. ijcai.org, 1480\u20131486."}],"event":{"name":"FAccT '23: the 2023 ACM Conference on Fairness, Accountability, and Transparency","location":"Chicago IL USA","acronym":"FAccT '23"},"container-title":["2023 ACM Conference on Fairness, Accountability, and Transparency"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3593013.3594008","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3593013.3594008","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:48:03Z","timestamp":1750178883000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3593013.3594008"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,12]]},"references-count":35,"alternative-id":["10.1145\/3593013.3594008","10.1145\/3593013"],"URL":"https:\/\/doi.org\/10.1145\/3593013.3594008","relation":{},"subject":[],"published":{"date-parts":[[2023,6,12]]},"assertion":[{"value":"2023-06-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}