{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:20:23Z","timestamp":1774419623018,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10888136","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T17:15:02Z","timestamp":1741799702000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["Online Proximal ADMM for Graph Learning from Streaming Smooth Signals"],"prefix":"10.1109","author":[{"given":"Hector","family":"Chahuara","sequence":"first","affiliation":[{"name":"Pontificia Universidad Católica del Perú,Department of Electrical Engineering,Lima,Perú"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gonzalo","family":"Mateos","sequence":"additional","affiliation":[{"name":"University of Rochester,Department of Electrical and Computer Engineering,Rochester,NY,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"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":"10.1109\/JPROC.2018.2804318"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2968813"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxm045"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2813337"},{"key":"ref8","first-page":"1","article-title":"Graphical models in heavy-tailed markets","volume-title":"Proc. Adv. Neural. Inf. Process. Syst","author":"de Miranda Cardoso"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2017.2731051"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2017.2742940"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2017.2731164"},{"key":"ref12","first-page":"1","article-title":"Learning graph structure from convolutional mixtures","author":"Wasserman","year":"2023","journal-title":"Trans. Mach. Learn. Res."},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2024.3392348"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2602809"},{"key":"ref15","first-page":"920","article-title":"How to learn a graph from smooth signals","volume-title":"Proc. Int. Conf. Artif. Intell. Statist","author":"Kalofolias"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3123459"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2023.3295770"},{"key":"ref18","first-page":"1","article-title":"Graph structure learning with interpretable Bayesian neural networks","author":"Wasserman","year":"2024","journal-title":"Trans. Mach. Learn. Res."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414791"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO54536.2021.9616123"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096392"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2018.8439913"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/a13090228"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/OJSP.2022.3178901"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974997"},{"key":"ref26","article-title":"A regularization framework for learning from graph data","volume-title":"ICML Workshop on Statistical Relational Learning and its Connections to Other Fields","author":"Zhou"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1287\/moor.2017.0875"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF51394.2020.9443573"},{"key":"ref29","first-page":"1699","article-title":"Online alternating direction method","volume-title":"Proc. Int. Conf. Mach. Learn","author":"Wang"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2049662.2049663"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10888136.pdf?arnumber=10888136","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:23:48Z","timestamp":1774416228000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10888136\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10888136","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}