{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:30:39Z","timestamp":1770748239907,"version":"3.49.0"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Hong Kong RGC GRF Project CUHK","award":["14203920"],"award-info":[{"award-number":["14203920"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tsp.2022.3229950","type":"journal-article","created":{"date-parts":[[2023,1,11]],"date-time":"2023-01-11T22:00:28Z","timestamp":1673474428000},"page":"6216-6231","source":"Crossref","is-referenced-by-count":6,"title":["Distributionally Robust Graph Learning From Smooth Signals Under Moment Uncertainty"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5267-3464","authenticated-orcid":false,"given":"Xiaolu","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong SAR, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6196-2022","authenticated-orcid":false,"given":"Yuen-Man","family":"Pun","sequence":"additional","affiliation":[{"name":"CIICADA Lab, School of Engineering, The Australian National University, Canberra, ACT, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2588-7851","authenticated-orcid":false,"given":"Anthony Man-Cho","family":"So","sequence":"additional","affiliation":[{"name":"Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong SAR, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2820126"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2890143"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2887284"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-45167-9_12"},{"key":"ref5","first-page":"132","article-title":"A regularization framework for learning from graph data","volume-title":"Proc. ICML Workshop Stat. Relational Learn. Connections Other Fields","author":"Zhou","year":"2004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2013.6556550"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2602809"},{"key":"ref8","first-page":"920","article-title":"How to learn a graph from smooth signals","volume-title":"Proc. 19th Artif. Intell. Statist.","author":"Kalofolias","year":"2016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953410"},{"key":"ref10","article-title":"Large scale graph learning from smooth signals","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kalofolias","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2020.2964249"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1287\/educ.2019.0198"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11590-020-01574-3"},{"key":"ref14","article-title":"Robust graph learning under Wasserstein uncertainty","author":"Zhang","year":"2021"},{"key":"ref15","first-page":"3937","article-title":"A first-order algorithmic framework for wasserstein distributionally robust logistic regression","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Li","year":"2019"},{"key":"ref16","first-page":"4029","article-title":"Fast epigraphical projection-based incremental algorithms for wasserstein distributionally robust support vector machine","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li","year":"2020"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2726975"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-009-0330-5"},{"key":"ref19","article-title":"A short note on concentration inequalities for random vectors with subGaussian norm","author":"Jin","year":"2019"},{"issue":"68","key":"ref20","first-page":"1","article-title":"Variance-based regularization with convex objectives","volume":"20","author":"Duchi","year":"2019","journal-title":"J. Mach. Learn. Res."},{"issue":"103","key":"ref21","first-page":"1","article-title":"Regularization via mass transportation","volume":"20","author":"Shafieezadeh-Abadeh","year":"2019","journal-title":"J. Mach. Learn. Res."},{"issue":"22","key":"ref22","first-page":"1","article-title":"A unified framework for structured graph learning via spectral constraints.","volume":"21","author":"Kumar","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref23","volume-title":"Probability and Measure","author":"Billingsley","year":"1995"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-015-0946-6"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-011-0484-9"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1287\/moor.1100.0449"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-018-0011-5"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414791"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071"},{"key":"ref30","article-title":"GSPBOX: A toolbox for signal processing on graphs","author":"Perraudin","year":"2014"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/34.291440"},{"key":"ref33","article-title":"Columbia University image library (COIL-20)","author":"Nene","year":"1996"},{"key":"ref34","first-page":"837","article-title":"Learning segmentation by random walks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Meila","year":"2000"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s40745-015-0040-1"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1080\/03081088708817789"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/9675017\/10015059.pdf?arnumber=10015059","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T06:34:17Z","timestamp":1707806057000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10015059\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/tsp.2022.3229950","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}