{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:48:05Z","timestamp":1730231285377,"version":"3.28.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"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":[[2024,4,14]]},"DOI":"10.1109\/icassp48485.2024.10448203","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"7285-7289","source":"Crossref","is-referenced-by-count":0,"title":["AUTOSGM: A Unified Lowpass Regularization Framework for Accelerated Learning"],"prefix":"10.1109","author":[{"given":"Oluwasegun A.","family":"Somefun","sequence":"first","affiliation":[{"name":"Oregon State University,School of Electrical Engineering and Computer Science,Corvallis,USA,OR 97331"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Lee","sequence":"additional","affiliation":[{"name":"Oregon State University,School of Electrical Engineering and Computer Science,Corvallis,USA,OR 97331"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V John","family":"Mathews","sequence":"additional","affiliation":[{"name":"Oregon State University,School of Electrical Engineering and Computer Science,Corvallis,USA,OR 97331"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729586"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.1964.5407756"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1137\/16m1080173"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2952219"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"volume-title":"Deep learning tuning playbook","year":"2023","author":"Godbole","key":"ref6"},{"key":"ref7","first-page":"9036","article-title":"Optimizer benchmarking needs to account for hyperparameter tuning","volume-title":"Proceedings of the 37th International Conference on Machine Learning","volume":"119","author":"Prabhu"},{"key":"ref8","article-title":"Step size matters in deep learning","volume-title":"Advances in Neural Information Processing Systems","volume":"31","author":"Nar","year":"2018"},{"article-title":"Loss landscapes are all you need: Neural network generalization can be explained without the implicit bias of gradient descent","volume-title":"The Eleventh International Conference on Learning Representations","author":"Chiang","key":"ref9"},{"key":"ref10","article-title":"Training deep networks without learning rates through coin betting","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Orabona","year":"2017"},{"volume-title":"Adaptation and Learning in Automatic Systems.","year":"1971","author":"Tsypkin","key":"ref11"},{"key":"ref12","article-title":"Better theory for SGD in the nonconvex world","author":"Khaled","year":"2023","journal-title":"Transactions on Machine Learning Research"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3446776"},{"key":"ref14","first-page":"23","article-title":"Accelerated gradient methods: History and properties","volume-title":"7th International Conference on Control and Optimization with Industrial Applications","volume":"1","author":"Polyak"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.23919\/ACC45564.2020.9147401"},{"key":"ref16","first-page":"1139","article-title":"On the importance of initialization and momentum in deep learning","volume-title":"Proceedings of the 30th International Conference on Machine Learning","author":"Sutskever"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_26"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/0041-5553(64)90137-5"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/0041-5553(69)90035-4"},{"key":"ref20","first-page":"543","article-title":"A method for solving the convex programming problem with convergence rate O(1\/k2)","volume":"269","author":"Nesterov","year":"1983","journal-title":"Doklady Akademii Nauk"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1406.3269"},{"volume-title":"Feedback Control of Dynamic Systems.","year":"2019","author":"Franklin","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_25"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1137\/15M1009597"},{"volume-title":"Detection Estimation and Modulation Theory, Detection, Estimation, and Filtering Theory, Part I.","year":"2013","author":"Van Trees","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1214\/aop\/1176994428"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46128-1_50"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/b978-190399655-3\/50013-x"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-814433-6.00011-9"},{"key":"ref30","first-page":"3028","article-title":"Super-acceleration with cyclical step-sizes","volume-title":"Proceedings of The 25th International Conference on Artificial Intelligence and Statistics","author":"Goujaud"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1063\/1.1699598"},{"volume-title":"Learning Multiple Layers of Features from Tiny Images","year":"2009","author":"Krizhevsky","key":"ref32"}],"event":{"name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2024,4,14]]},"location":"Seoul, Korea, Republic of","end":{"date-parts":[[2024,4,19]]}},"container-title":["ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10445798\/10445803\/10448203.pdf?arnumber=10448203","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T04:36:10Z","timestamp":1722573370000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10448203\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10448203","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}