{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:51:48Z","timestamp":1772934708389,"version":"3.50.1"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"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":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11402282","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"1357-1363","source":"Crossref","is-referenced-by-count":0,"title":["Meta-Learning with Adaptive Borrowing for High Dimensional Moment Condition Model"],"prefix":"10.1109","author":[{"given":"Abhisek","family":"Chakraborty","sequence":"first","affiliation":[{"name":"Texas A&M University,Department of Statistics,College Station,Texas"}]},{"given":"Anirban","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"Medical University of South Carolina,Department of Public Health Sciences,Charleston,South Carolina"}]}],"member":"263","reference":[{"key":"ref1","first-page":"3637","article-title":"Matching networks for one shot learning","volume-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems","author":"Vinyals","year":"2016"},{"key":"ref2","first-page":"4077","article-title":"Prototypical networks for fewshot learning","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems","author":"Snell","year":"2017"},{"key":"ref3","first-page":"2554","article-title":"Meta networks","volume-title":"Proceedings of the 34th International Conference on Machine Learning","author":"Munkhdalai","year":"2017"},{"key":"ref4","first-page":"1842","article-title":"Meta-learning with memory-augmented neural networks","volume-title":"Proceedings of the 33rd International Conference on Machine Learning","author":"Santoro","year":"2016"},{"key":"ref5","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proceedings of the 34th International Conference on Machine Learning","author":"Finn","year":"2017"},{"key":"ref6","article-title":"On first-order meta-learning algorithms","volume-title":"Proceedings of the 32nd International Conference on Neural Information Processing Systems","author":"Nichol","year":"2018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2307\/1912775"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S1573-4412(05)80005-4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1086\/260724"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/75.2.237"},{"key":"ref11","article-title":"Efficient Importance Sampling for Rare Event Simulation with Applications","author":"Fuh","year":"2013","journal-title":"arXiv.org"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/07350015.1996.10524656"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2307\/2971718"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176325370"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1017\/s0266466603196028"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1201\/9781420036152"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1214\/009053606000001208"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1358172"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1214\/25-ba1535"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/e26030249"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/1468-0262.00273"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1198\/016214502388618960"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12016"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1111\/1468-0262.00392"},{"issue":"433","key":"ref25","first-page":"153","article-title":"A bayesian hierarchical model for learning natural scene categories","volume":"91","author":"M\u00fcller","year":"1996","journal-title":"Journal of the American Statistical Association"},{"issue":"2","key":"ref26","first-page":"222","article-title":"Decomposing variation in gene expression data: An empirical bayes approach","volume":"7","author":"Heard","year":"2006","journal-title":"Biostatistics"},{"key":"ref27","first-page":"501","article-title":"Bayesian regression with clusterdependent predictor selection","volume-title":"Bayesian Statistics 8","author":"Petrone","year":"2009"},{"issue":"493","key":"ref28","first-page":"40","article-title":"Hierarchical dirichlet processes","volume":"106","author":"Ghosh","year":"2011","journal-title":"Journal of the American Statistical Association"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1198\/016214506000000302"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198526155.003.0053"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asr013"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1198\/073500102288618630"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1214\/009053606000001208"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176342360"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.21236\/ADA238689"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11402282.pdf?arnumber=11402282","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T07:15:13Z","timestamp":1772867713000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11402282\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11402282","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}