{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:27:30Z","timestamp":1774420050512,"version":"3.50.1"},"reference-count":21,"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\/icassp49660.2025.10889845","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":0,"title":["Maximum Likelihood Estimation for Bivariate Joint Distribution Recovery from Max-Aggregated Data"],"prefix":"10.1109","author":[{"given":"Tianjian","family":"Zhang","sequence":"first","affiliation":[{"name":"Shenzhen Research Institute of Big Data"}]},{"given":"Feng","family":"Yin","sequence":"additional","affiliation":[{"name":"SSE, The Chinese University of Hong Kong,Shenzhen"}]},{"given":"Yue","family":"Sun","sequence":"additional","affiliation":[{"name":"Huawei Technologies Co., Ltd"}]},{"given":"Qi","family":"Yan","sequence":"additional","affiliation":[{"name":"Huawei Technologies Co., Ltd"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2200179"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414520"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3322766"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746687"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2021.1874961"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-009-8552-0_27"},{"issue":"3","key":"ref7","first-page":"337","article-title":"Identification of parameters by the distribution of a maximum random variable","volume-title":"Journal of the Royal Statistical Society. Series B (Methodological)","volume":"39","author":"Anderson","year":"1977"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/BF01197886"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007889519309"},{"key":"ref10","article-title":"Recovering a Gaussian distribution from its minimum","author":"Restrepo","year":"2015"},{"key":"ref11","first-page":"27645","article-title":"Identifiable generative models for missing not at random data imputation","volume":"34","author":"Ma","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref12","article-title":"not-MIWAE: Deep generative modelling with missing not at random data","volume-title":"International Conference on Learning Representations","author":"Ipsen"},{"key":"ref13","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"Advances in Neural Information Processing Systems 32","author":"Paszke","year":"2019"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/GWS.2018.8686599"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-6377(99)00074-7"},{"key":"ref16","article-title":"Fast generic interaction detection for model interpretability and compression","volume-title":"International Conference on Learning Representations","author":"Zhang"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3055000"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2862383"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3090960"},{"key":"ref20","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref21","volume-title":"Asymptotic Statistics","author":"van der Vaart","year":"2000"}],"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\/10889845.pdf?arnumber=10889845","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:26:07Z","timestamp":1774416367000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10889845\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10889845","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}