{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T12:16:46Z","timestamp":1764937006067,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,7,19]],"date-time":"2018-07-19T00:00:00Z","timestamp":1531958400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1553146"],"award-info":[{"award-number":["IIS-1553146"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the National Institute of Allergy and Infectious Diseases of the National Institutes of Health","award":["U01AI124255"],"award-info":[{"award-number":["U01AI124255"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,7,19]]},"DOI":"10.1145\/3219819.3220070","type":"proceedings-article","created":{"date-parts":[[2018,7,19]],"date-time":"2018-07-19T13:05:12Z","timestamp":1532005512000},"page":"2417-2426","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":19,"title":["Learning Credible Models"],"prefix":"10.1145","author":[{"given":"Jiaxuan","family":"Wang","sequence":"first","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeeheh","family":"Oh","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haozhu","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jenna","family":"Wiens","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,7,19]]},"reference":[{"volume-title":"Learning from sparse data by exploiting monotonicity constraints. arXiv preprint arXiv:1207.1364","year":"2012","author":"Altendorf Eric E","key":"e_1_3_2_1_1_1"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022655006810"},{"volume-title":"Weighted lasso with data integration. Statistical applications in genetics and molecular biology 10, 1","year":"2011","author":"Bergersen Linn Cecilie","key":"e_1_3_2_1_3_1"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-012-9135-7"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098126"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1086\/658944"},{"volume-title":"Sparse estimation with strongly correlated variables using ordered weighted l1 regularization. arXiv preprint arXiv:1409.4005","year":"2014","author":"Figueiredo Mario AT","key":"e_1_3_2_1_7_1"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhin.2008.06.026"},{"key":"#cr-split#-e_1_3_2_1_9_1.1","doi-asserted-by":"crossref","unstructured":"A. L. Goldberger L. A. N. Amaral L. Glass J. M. Hausdorff P. Ch. Ivanov R. G. Mark J. E. Mietus G. B. Moody C.-K. Peng and H. E. Stanley. 2000 (June 13). PhysioBank PhysioToolkit and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101 23 (2000 (June 13)) e215--e220. Circulation Electronic Pages: http:\/\/circ.ahajournals.org\/content\/101\/23\/e215.full PMID:1085218","DOI":"10.1161\/01.CIR.101.23.e215"},{"key":"#cr-split#-e_1_3_2_1_9_1.2","doi-asserted-by":"crossref","unstructured":"A. L. Goldberger L. A. N. Amaral L. Glass J. M. Hausdorff P. Ch. Ivanov R. G. Mark J. E. Mietus G. B. Moody C.-K. Peng and H. E. Stanley. 2000 (June 13). PhysioBank PhysioToolkit and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101 23 (2000 (June 13)) e215--e220. Circulation Electronic Pages: http:\/\/circ.ahajournals.org\/content\/101\/23\/e215.full PMID:1085218;","DOI":"10.1161\/01.CIR.101.23.e215"},{"volume-title":"Finding Alternate Features in Lasso. arXiv preprint arXiv:1611.05940","year":"2016","author":"Hara Satoshi","key":"e_1_3_2_1_10_1"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553427"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2009.2027527"},{"volume-title":"Statistical estimation: asymptotic theory","author":"Ibragimov Il'dar Abdulovi\u010d","key":"e_1_3_2_1_13_1"},{"volume-title":"ON MODEL SELECTION CONSISTENCY OF THE ELASTIC NET WHEN","year":"2010","author":"Jia Jinzhu","key":"e_1_3_2_1_14_1"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(01)00077-X"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553444"},{"key":"e_1_3_2_1_17_1","unstructured":"Himabindu Lakkaraju and Cynthia Rudin. 2017. Learning Cost-Effective and Interpretable Treatment Regimes. In Artificial Intelligence and Statistics. 166--175.  Himabindu Lakkaraju and Cynthia Rudin. 2017. Learning Cost-Effective and Interpretable Treatment Regimes. In Artificial Intelligence and Statistics. 166--175."},{"volume-title":"A simplified acute physiology score for ICU patients. Critical care medicine 12, 11","year":"1984","author":"Le Gall Jean-Roger","key":"e_1_3_2_1_18_1"},{"volume-title":"ICML Workshop on Human Interpretability in Machine Learning","year":"2016","author":"Lipton Zachary C","key":"e_1_3_2_1_19_1"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2011.01.013"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bpa.2008.09.003"},{"volume-title":"Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers. Infection Control and Hospital Epidemiology","year":"2018","author":"Oh Jeeheh","key":"e_1_3_2_1_22_1"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Michael J Pazzani S Mani William R Shankle etal 2001. Acceptance of rules generated by machine learning among medical experts. Methods of information in medicine 40 5 (2001) 380--385.  Michael J Pazzani S Mani William R Shankle et al. 2001. Acceptance of rules generated by machine learning among medical experts. Methods of information in medicine 40 5 (2001) 380--385.","DOI":"10.1055\/s-0038-1634196"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"volume-title":"Right for the right reasons: Training differentiable models by constraining their explanations. arXiv preprint arXiv:1703.03717","year":"2017","author":"Ross Andrew Slavin","key":"e_1_3_2_1_25_1"},{"volume-title":"Monotonic networks. Advances in neural information processing systems","year":"1998","author":"Sill Joseph","key":"e_1_3_2_1_26_1"},{"volume-title":"Predicting in-hospital mortality of icu patients: The physionet\/computing in cardiology challenge","year":"2012","author":"Silva Ikaro","key":"e_1_3_2_1_27_1"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-013-0679-x"},{"key":"e_1_3_2_1_29_1","volume-title":"AMIA","volume":"2012","author":"Sun Jimeng","year":"2012"},{"volume-title":"Methods and models for interpretable linear classification. arXiv preprint arXiv:1405.4047","year":"2014","author":"Ustun Berk","key":"e_1_3_2_1_30_1"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/2789272.2886814"},{"volume-title":"Proceedings of the International Conference on Neural Networks","year":"2006","author":"Velikova Marina","key":"e_1_3_2_1_32_1"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.08.023"},{"volume-title":"Open forum infectious diseases","author":"Wiens Jenna","key":"e_1_3_2_1_34_1"},{"volume-title":"ADADELTA: an adaptive learning rate method. arXiv preprint arXiv:1212.5701","year":"2012","author":"Zeiler Matthew D","key":"e_1_3_2_1_35_1"},{"key":"e_1_3_2_1_36_1","first-page":"2541","article-title":"On model selection consistency of lasso","author":"Zhao Peng","year":"2006","journal-title":"Journal of Machine learning research 7"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214506000000735"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"}],"event":{"name":"KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"London United Kingdom","acronym":"KDD '18"},"container-title":["Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3219819.3220070","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3219819.3220070","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3219819.3220070","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:07:29Z","timestamp":1750212449000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3219819.3220070"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,19]]},"references-count":39,"alternative-id":["10.1145\/3219819.3220070","10.1145\/3219819"],"URL":"https:\/\/doi.org\/10.1145\/3219819.3220070","relation":{},"subject":[],"published":{"date-parts":[[2018,7,19]]},"assertion":[{"value":"2018-07-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}