{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T17:07:07Z","timestamp":1783530427330,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,1,27]],"date-time":"2019-01-27T00:00:00Z","timestamp":1548547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"U.S. Army Research Lab and the U.K. Ministry of Defence","award":["W911NF-16-3-0001"],"award-info":[{"award-number":["W911NF-16-3-0001"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,1,27]]},"DOI":"10.1145\/3306618.3314236","type":"proceedings-article","created":{"date-parts":[[2019,7,10]],"date-time":"2019-07-10T12:10:59Z","timestamp":1562760659000},"page":"91-98","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":51,"title":["Fair Transfer Learning with Missing Protected Attributes"],"prefix":"10.1145","author":[{"given":"Amanda","family":"Coston","sequence":"first","affiliation":[{"name":"IBM Research &amp; Carnegie Mellon University, Yorktown Heights, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karthikeyan Natesan","family":"Ramamurthy","sequence":"additional","affiliation":[{"name":"IBM Research, Yorktown Heights, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dennis","family":"Wei","sequence":"additional","affiliation":[{"name":"IBM Research, Yorktown Heights, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kush R.","family":"Varshney","sequence":"additional","affiliation":[{"name":"IBM Research, Yorktown Heights, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Skyler","family":"Speakman","sequence":"additional","affiliation":[{"name":"IBM Research, Nairobi, Kenya"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zairah","family":"Mustahsan","sequence":"additional","affiliation":[{"name":"IBM Watson AI Platform, Yorktown Heights, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Supriyo","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"IBM Research, Yorktown Heights, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,1,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proc. International Conference on Machine Learning (ICML)","author":"Agarwal Alekh","year":"2018","unstructured":"Alekh Agarwal , Alina Beygelzimer , Miroslav Dud'ik , John Langford , and Hanna Wallach . 2018 . A reductions approach to fair classification . In Proc. International Conference on Machine Learning (ICML) . Stockholm, Sweden. Alekh Agarwal, Alina Beygelzimer, Miroslav Dud'ik, John Langford, and Hanna Wallach. 2018. A reductions approach to fair classification. In Proc. International Conference on Machine Learning (ICML). Stockholm, Sweden."},{"key":"e_1_3_2_1_2_1","first-page":"1","article-title":"Automatic Differentiation in Machine Learning: A Survey","volume":"18","author":"Baydin Atilim G\u00fcnecs","year":"2018","unstructured":"Atilim G\u00fcnecs Baydin , Barak A. Pearlmutter , Alexey Andreyevich Radul , and Jeffrey Mark Siskind . 2018 . Automatic Differentiation in Machine Learning: A Survey . Journal of Machine Learning Research , Vol. 18 , 2 (2018), 1 -- 43 . Atilim G\u00fcnecs Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind. 2018. Automatic Differentiation in Machine Learning: A Survey. Journal of Machine Learning Research, Vol. 18, 2 (2018), 1--43.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_3_1","article-title":"Discriminative Learning Under Covariate Shift","volume":"10","author":"Bickel Steffen","year":"2009","unstructured":"Steffen Bickel , Michael Br\u00fcckner , and Tobias Scheffer . 2009 . Discriminative Learning Under Covariate Shift . Journal of Machine Learning Research , Vol. 10 ( Sept. 2009), 2137--2155. Steffen Bickel, Michael Br\u00fcckner, and Tobias Scheffer. 2009. Discriminative Learning Under Covariate Shift. Journal of Machine Learning Research, Vol. 10 (Sept. 2009), 2137--2155.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1177\/089124393007002004"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287594"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1089\/big.2016.0047"},{"key":"e_1_3_2_1_7_1","volume-title":"How M-Shwari Works: The Story So Far. Access to Finance Forum 10 (April","author":"Cook Tamara","year":"2015","unstructured":"Tamara Cook and Claudia McKay . 2015. How M-Shwari Works: The Story So Far. Access to Finance Forum 10 (April 2015 ). Tamara Cook and Claudia McKay. 2015. How M-Shwari Works: The Story So Far. Access to Finance Forum 10 (April 2015)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098095"},{"key":"e_1_3_2_1_9_1","unstructured":"Agency for Healthcare Research and Quality. 2018. Medical Expenditure Panel Survey (MEPS). http:\/\/www.ahrq.gov\/research\/data\/meps\/index.html .  Agency for Healthcare Research and Quality. 2018. Medical Expenditure Panel Survey (MEPS). http:\/\/www.ahrq.gov\/research\/data\/meps\/index.html ."},{"key":"e_1_3_2_1_10_1","first-page":"6","article-title":"Race Sex and Genetic Discrimination in Insurance: What`s Fair","volume":"80","author":"Gaulding Jill","year":"1995","unstructured":"Jill Gaulding . 1995 . Race Sex and Genetic Discrimination in Insurance: What`s Fair . Cornell Law Review , Vol. 80 , 6 (Sept. 1995), 1646--1694. Jill Gaulding. 1995. Race Sex and Genetic Discrimination in Insurance: What`s Fair. Cornell Law Review, Vol. 80, 6 (Sept. 1995), 1646--1694.","journal-title":"Cornell Law Review"},{"key":"e_1_3_2_1_11_1","volume-title":"Proc. IEEE Conference on Computer Vision and Pattern Recognition","author":"Gong Boqing","year":"2012","unstructured":"Boqing Gong , Yuan Shi , Fei Sha , and Kristen Grauman . 2012 . Geodesic Flow Kernel for Unsupervised Domain Adaptation . In Proc. IEEE Conference on Computer Vision and Pattern Recognition . Providence, RI, USA , 2066--2073. Boqing Gong, Yuan Shi, Fei Sha, and Kristen Grauman. 2012. Geodesic Flow Kernel for Unsupervised Domain Adaptation. In Proc. IEEE Conference on Computer Vision and Pattern Recognition. Providence, RI, USA, 2066--2073."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Arthur Gretton Alexander J Smola Jiayuan Huang Marcel Schmittfull Karsten M Borgwardt and Bernhard Sch\u00f6lkopf. 2009. Covariate Shift by Kernel Mean Matching. (2009).  Arthur Gretton Alexander J Smola Jiayuan Huang Marcel Schmittfull Karsten M Borgwardt and Bernhard Sch\u00f6lkopf. 2009. Covariate Shift by Kernel Mean Matching. (2009).","DOI":"10.7551\/mitpress\/9780262170055.003.0008"},{"key":"e_1_3_2_1_13_1","volume-title":"Mahdi Milani Fard, and Serena Wang","author":"Gupta Maya","year":"2018","unstructured":"Maya Gupta , Andrew Cotter , Mahdi Milani Fard, and Serena Wang . 2018 . Proxy Fairness . arXiv:1806.11212. Maya Gupta, Andrew Cotter, Mahdi Milani Fard, and Serena Wang. 2018. Proxy Fairness. arXiv:1806.11212."},{"key":"e_1_3_2_1_14_1","unstructured":"Samantha Kahn. 2015. The End of Gender Rating: Women's Insurance Under the ACA. https:\/\/publicpolicy.wharton.upenn.edu\/live\/news\/819-the-end-of-gender-rating-womens-insurance-under.  Samantha Kahn. 2015. The End of Gender Rating: Women's Insurance Under the ACA. https:\/\/publicpolicy.wharton.upenn.edu\/live\/news\/819-the-end-of-gender-rating-womens-insurance-under."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-011-0463-8"},{"key":"e_1_3_2_1_16_1","volume-title":"Proc. International Conference on Machine Learning","author":"Koh Pang Wei","year":"2017","unstructured":"Pang Wei Koh and Percy Liang . 2017 . Understanding Black-Box Predictions via Influence Functions . In Proc. International Conference on Machine Learning . Sydney, NSW, Australia , 1885--1894. Pang Wei Koh and Percy Liang. 2017. Understanding Black-Box Predictions via Influence Functions. In Proc. International Conference on Machine Learning. Sydney, NSW, Australia, 1885--1894."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186133"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3236644.3236649"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/85.3.619"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Joaquin Qui nonero-Candela Masashi Sugiyama Anton Schwaighofer and Neil D. Lawrence (Eds.). 2009. Dataset Shift in Machine Learning .MIT Press Cambridge MA USA.   Joaquin Qui nonero-Candela Masashi Sugiyama Anton Schwaighofer and Neil D. Lawrence (Eds.). 2009. Dataset Shift in Machine Learning .MIT Press Cambridge MA USA.","DOI":"10.7551\/mitpress\/9780262170055.001.0001"},{"key":"e_1_3_2_1_21_1","volume-title":"Multivariable Calculus with Vectors","author":"Rogers Hartley","unstructured":"Hartley Rogers . 1999. Multivariable Calculus with Vectors . Prentice-Hall , Upper Saddle River, NJ, USA. Hartley Rogers. 1999. Multivariable Calculus with Vectors .Prentice-Hall, Upper Saddle River, NJ, USA."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209811.3209856"},{"key":"e_1_3_2_1_23_1","article-title":"a. Covariate Shift Adaptation by Importance Weighted Cross Validation","volume":"8","author":"Sugiyama Masashi","year":"2007","unstructured":"Masashi Sugiyama , Matthias Krauledat , and Klaus-Robert M\u00fcller . 2007 a. Covariate Shift Adaptation by Importance Weighted Cross Validation . Journal of Machine Learning Research , Vol. 8 ( May 2007), 985--1005. Masashi Sugiyama, Matthias Krauledat, and Klaus-Robert M\u00fcller. 2007 a. Covariate Shift Adaptation by Importance Weighted Cross Validation. Journal of Machine Learning Research, Vol. 8 (May 2007), 985--1005.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_24_1","volume-title":"Advances in Neural Information Processing Systems.","author":"Sugiyama Masashi","unstructured":"Masashi Sugiyama , Shinichi Nakajima , Hisashi Kashima , Paul von B\u00fcnau , and Motoaki Kawanabe . 2007 b. Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation . In Advances in Neural Information Processing Systems. Vancouver, BC , Canada , 1433--1440. Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul von B\u00fcnau, and Motoaki Kawanabe. 2007 b. Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation. In Advances in Neural Information Processing Systems. Vancouver, BC, Canada, 1433--1440."},{"key":"e_1_3_2_1_25_1","volume-title":"Density Ratio Estimation in Machine Learning","author":"Sugiyama Masashi","unstructured":"Masashi Sugiyama , Taiji Suzuki , and Takafumi Kanamori . 2012. Density Ratio Estimation in Machine Learning 1 st ed.). Cambridge University Press , New York, NY, USA . Masashi Sugiyama, Taiji Suzuki, and Takafumi Kanamori. 2012. Density Ratio Estimation in Machine Learning 1st ed.). Cambridge University Press, New York, NY, USA.","edition":"1"}],"event":{"name":"AIES '19: AAAI\/ACM Conference on AI, Ethics, and Society","location":"Honolulu HI USA","acronym":"AIES '19","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence","AAAI American Association for Artificial Intelligence"]},"container-title":["Proceedings of the 2019 AAAI\/ACM Conference on AI, Ethics, and Society"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3306618.3314236","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3306618.3314236","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:02:03Z","timestamp":1750208523000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3306618.3314236"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,27]]},"references-count":25,"alternative-id":["10.1145\/3306618.3314236","10.1145\/3306618"],"URL":"https:\/\/doi.org\/10.1145\/3306618.3314236","relation":{},"subject":[],"published":{"date-parts":[[2019,1,27]]},"assertion":[{"value":"2019-01-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}