{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:18:40Z","timestamp":1787012320781,"version":"build-2736575974"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1109\/ipdps47924.2020.00102","type":"proceedings-article","created":{"date-parts":[[2020,7,14]],"date-time":"2020-07-14T17:18:30Z","timestamp":1594747110000},"page":"956-965","source":"Crossref","is-referenced-by-count":10,"title":["Scalable and Memory-Efficient Kernel Ridge Regression"],"prefix":"10.1109","author":[{"given":"Gustavo","family":"Chavez","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pieter","family":"Ghysels","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoye Sherry","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elizaveta","family":"Rebrova","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Analytical low-rank compression via proxy point selection","author":"ye","year":"2019","journal-title":"arXiv preprint arXiv 1903 00066"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1137\/15M1026377"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/nla.691"},{"key":"ref30","first-page":"682","article-title":"Using the Nyström method to speed up kernel machines","author":"williams","year":"2001","journal-title":"Advances in neural information processing systems"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2016.12"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2017.10"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3126908.3126921"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3205289.3205290"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2009.2021326"},{"key":"ref11","first-page":"317","article-title":"Randomized partition trees for exact nearest neighbor search","author":"dasgupta","year":"2013","journal-title":"Conference on Learning Theory"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.12.002"},{"key":"ref13","author":"g\u00e9ron","year":"2017","journal-title":"Hands-on machine learning with Scikit-Learn and TensorFlow concepts tools and techniques to build intelligent systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2017.21"},{"key":"ref15","first-page":"3977","article-title":"Revisiting the Nyström method for improved large-scale machine learning","volume":"17","author":"gittens","year":"2016","journal-title":"The Journal of Machine Learning Research"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s006070050015"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7_14"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1137\/120866683"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000677"},{"key":"ref28","first-page":"682","article-title":"Memory efficient kernel approximation","volume":"18","author":"si","year":"2017","journal-title":"The Journal of Machine Learning Research"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2628071.2628092"},{"key":"ref27","first-page":"3888","article-title":"FALKON: An optimal large scale kernel method","author":"rudi","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2746539.2746553"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10092-005-0103-3"},{"key":"ref29","article-title":"Structured block basis factorization for scalable kernel matrix evaluation","volume":"abs 1505 398","author":"wang","year":"2015","journal-title":"CoRR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1137\/16M1105396"},{"key":"ref8","first-page":"2214","article-title":"Hierarchically compositional kernels for scalable nonparametric learning","volume":"18","author":"chen","year":"2017","journal-title":"J Mach Learn Res"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479803436652"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327494"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1137\/030602678"},{"key":"ref1","year":"0","journal-title":"STRUMPACK website"},{"key":"ref20","first-page":"981","article-title":"Sampling methods for the Nyström method","volume":"13","author":"kumar","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1137\/100786617"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1137\/140989546"},{"key":"ref24","first-page":"1177","article-title":"Random features for large-scale kernel machines","author":"rahimi","year":"2008","journal-title":"Advances in neural information processing systems"},{"key":"ref23","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2930660"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW.2018.00140"}],"event":{"name":"2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS)","location":"New Orleans, LA, USA","start":{"date-parts":[[2020,5,18]]},"end":{"date-parts":[[2020,5,22]]}},"container-title":["2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS)"],"original-title":[],"link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx7\/9136850\/9139768\/09139856.pdf?arnumber=9139856","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T17:55:18Z","timestamp":1656438918000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/9139856\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":37,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1109\/ipdps47924.2020.00102","relation":{},"subject":[],"published":{"date-parts":[[2020,5]]}}}