{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:07:57Z","timestamp":1740100077504,"version":"3.37.3"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11,1]]},"DOI":"10.1109\/ieeeconf51394.2020.9443270","type":"proceedings-article","created":{"date-parts":[[2021,6,4]],"date-time":"2021-06-04T01:32:35Z","timestamp":1622770355000},"page":"574-578","source":"Crossref","is-referenced-by-count":0,"title":["Learning from Networks of Distributions"],"prefix":"10.1109","author":[{"given":"Antonios","family":"Valkanas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Florence","family":"Regol","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Coates","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1145\/2783258.2783300","article-title":"Who supported Obama in 2012? Ecological inference through distribution regression","author":"flaxman","year":"2015","journal-title":"Proc ACM SIGKDD Int Conf Knowledge Discovery and Data Mining"},{"key":"ref11","first-page":"3391","article-title":"Deep sets","author":"zaheer","year":"2017","journal-title":"Proc Adv in Neural Inf Process Syst (NeurIPS)"},{"key":"ref12","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc Int Conf Learning Representations (ICLR)"},{"key":"ref13","article-title":"Graph attention networks","author":"veli?kovi?","year":"2018","journal-title":"Proc Int Conf Learning Representations (ICLR)"},{"key":"ref14","article-title":"How powerful are graph neural networks?","author":"xu","year":"2019","journal-title":"Proc Int Conf Learning Representations (ICLR)"},{"key":"ref15","article-title":"Set transformer: A framework for attention-based permutation-invariant neural networks","author":"lee","year":"2019","journal-title":"Proc Int Conf Machine Learning (ICML)"},{"key":"ref4","first-page":"287","article-title":"A conditional random field for multiple-instance learning","author":"deselaers","year":"2010","journal-title":"Proc Int Conf Machine Learning (ICML)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(96)00034-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.40"},{"key":"ref5","first-page":"145","article-title":"Multiple instance learning on structured data","author":"zhang","year":"2011","journal-title":"Proc Adv in Neural Inf Process Syst (NeurIPS)"},{"key":"ref8","first-page":"2127","article-title":"Attention-based deep multiple instance learning","author":"ilse","year":"2018","journal-title":"Proc Int Conf Machine Learning (ICML)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-019-01021-5"},{"key":"ref2","article-title":"Learning theory for distribution regression","volume":"17","author":"szab\u00f3","year":"2016","journal-title":"J of Machine Learning Research"},{"key":"ref1","first-page":"507","article-title":"Distribution-free distribution regression","author":"poczos","year":"2013","journal-title":"Proc Int Conf on Artificial Intelligence"},{"article-title":"Under-standing the 2016 US Presidential Election using ecological inference and distribution regression with census microdata","year":"2016","author":"flaxman","key":"ref9"}],"event":{"name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","start":{"date-parts":[[2020,11,1]]},"location":"Pacific Grove, CA, USA","end":{"date-parts":[[2020,11,4]]}},"container-title":["2020 54th Asilomar Conference on Signals, Systems, and Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9443248\/9443268\/09443270.pdf?arnumber=9443270","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:53:53Z","timestamp":1656453233000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9443270\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,1]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/ieeeconf51394.2020.9443270","relation":{},"subject":[],"published":{"date-parts":[[2020,11,1]]}}}