{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T04:36:58Z","timestamp":1773376618739,"version":"3.50.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,25]],"date-time":"2023-06-25T00:00:00Z","timestamp":1687651200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,25]],"date-time":"2023-06-25T00:00:00Z","timestamp":1687651200000},"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":[[2023,6,25]]},"DOI":"10.1109\/isit54713.2023.10206453","type":"proceedings-article","created":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T13:31:15Z","timestamp":1692711075000},"page":"1044-1049","source":"Crossref","is-referenced-by-count":0,"title":["A Stochastic Rate-Distortion Approach to Supervised Learning Systems"],"prefix":"10.1109","author":[{"given":"Ahmed","family":"Elshafiy","sequence":"first","affiliation":[{"name":"University of California,Department of Electrical and Computer Engineering,Santa Barbara,CA,USA,93106"}]},{"given":"Mahmoud","family":"Namazi","sequence":"additional","affiliation":[{"name":"University of California,Department of Electrical and Computer Engineering,Santa Barbara,CA,USA,93106"}]},{"given":"Kenneth","family":"Rose","sequence":"additional","affiliation":[{"name":"University of California,Department of Electrical and Computer Engineering,Santa Barbara,CA,USA,93106"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.21236\/ad0256582"},{"key":"ref2","volume-title":"Perceptrons: An Introduction to Computational Geometry.","author":"Minsky","year":"1961"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.4.473"},{"key":"ref4","article-title":"Compressing deep convolutional networks using vector quantization","author":"Gong","year":"2014"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.39.6600"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/72.80236"},{"key":"ref7","first-page":"107","article-title":"Skeletonization: A technique for trimming the fat from a network via relevance assessment","author":"Mozer","year":"1989","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638949"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/18.904515"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT44484.2020.9174348"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ITW46852.2021.9457666"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT45174.2021.9517877"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/0471219282.eot142"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.21236\/ad0753260"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(68)91123-6"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/18.650987"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2002.1003841"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1214\/aop\/1176996454"},{"key":"ref19","volume-title":"Elements of Inf. Theory.","author":"Cover","year":"2006"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/5236.001.0001"},{"issue":"1","key":"ref21","first-page":"69","article-title":"Effective backpropagation training with variable stepsize","volume-title":"Neural Networks","volume":"10","author":"Magoulas","year":"1997"},{"key":"ref22","first-page":"79","article-title":"Back-propagation algorithm with variable adaptive momentum","volume-title":"Knowledge-Based Systems","volume":"114","author":"Hameed","year":"2016"},{"issue":"3","key":"ref23","first-page":"517","article-title":"Efficient backpropagation learning using optimal learning rate and momentum","volume-title":"Neural Networks","volume":"10","author":"Yu","year":"1997"},{"key":"ref24","article-title":"Adam: A method for stochastic optimization","volume-title":"ICLR (Poster)","author":"Kingma","year":"2015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/5.726788"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.37398\/JSR.2020.640251"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICECTA48151.2019.8959793"},{"key":"ref29","article-title":"An ensemble of simple convolutional neural network models for mnist digit recognition","author":"An","year":"2020"}],"event":{"name":"2023 IEEE International Symposium on Information Theory (ISIT)","location":"Taipei, Taiwan","start":{"date-parts":[[2023,6,25]]},"end":{"date-parts":[[2023,6,30]]}},"container-title":["2023 IEEE International Symposium on Information Theory (ISIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206429\/10206441\/10206453.pdf?arnumber=10206453","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T20:26:59Z","timestamp":1773347219000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10206453\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,25]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/isit54713.2023.10206453","relation":{},"subject":[],"published":{"date-parts":[[2023,6,25]]}}}