{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T07:55:33Z","timestamp":1730274933535,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,6]]},"DOI":"10.1109\/isit.2015.7282649","type":"proceedings-article","created":{"date-parts":[[2015,10,1]],"date-time":"2015-10-01T22:09:52Z","timestamp":1443737392000},"page":"1217-1221","source":"Crossref","is-referenced-by-count":2,"title":["Determining step sizes in geometric optimization algorithms"],"prefix":"10.1109","author":[{"given":"Zhizhong","family":"Li","sequence":"first","affiliation":[]},{"given":"Deli","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Zhouchen","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Edward Y.","family":"Chang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"406","article-title":"RTRMC: A Riemannian trust-region method for low-rank matrix completion","author":"boumal","year":"2011","journal-title":"Advances in Neural Information Processing Systems 24 (NIPS)"},{"key":"ref11","first-page":"1412","article-title":"Scaled gradients on Grassmann manifolds for matrix completion","author":"ngo","year":"2012","journal-title":"Advances in Neural Information Processing Systems 24 (NIPS)"},{"key":"ref12","first-page":"545","article-title":"Linear regression under fixed-rank constraints: A Riemannian approach","author":"meyer","year":"0","journal-title":"Proceedings of the 28th International Conference on Machine Learning (ICML-11) 2011"},{"key":"ref13","first-page":"593","article-title":"Regression on fixed-rank positive semidefinite matrices: a Riemannian approach","volume":"12","year":"2011","journal-title":"JMLR"},{"article-title":"Numerical optimization","year":"2006","author":"nocedal","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00180-013-0464-z"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1137\/11082885X"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479895290954"},{"journal-title":"Optimization Algorithms on Matrix Manifolds","year":"2009","author":"absil","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-005-0179-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2014.7039534"},{"key":"ref7","first-page":"1455","article-title":"Manopt, a Matlab toolbox for optimization on manifolds","volume":"15","author":"boumal","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref2","first-page":"113","article-title":"Optimization techniques on Riemannian manifolds","volume":"3","author":"smith","year":"1994","journal-title":"Hamiltonian and gradient flows algorithms and control ser Fields Inst Commun"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00934767"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1137\/110845768"}],"event":{"name":"2015 IEEE International Symposium on Information Theory (ISIT)","start":{"date-parts":[[2015,6,14]]},"location":"Hong Kong, Hong Kong","end":{"date-parts":[[2015,6,19]]}},"container-title":["2015 IEEE International Symposium on Information Theory (ISIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7270906\/7282397\/07282649.pdf?arnumber=7282649","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,24]],"date-time":"2017-03-24T20:04:26Z","timestamp":1490385866000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7282649\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/isit.2015.7282649","relation":{},"subject":[],"published":{"date-parts":[[2015,6]]}}}