{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T06:40:06Z","timestamp":1750747206939,"version":"3.41.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T00:00:00Z","timestamp":1746403200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T00:00:00Z","timestamp":1746403200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"publisher","award":["2021ZD0111501"],"award-info":[{"award-number":["2021ZD0111501"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,5]]},"DOI":"10.1109\/cscwd64889.2025.11033496","type":"proceedings-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T17:24:40Z","timestamp":1750699480000},"page":"1473-1479","source":"Crossref","is-referenced-by-count":0,"title":["Rank Constraints of High-Order Cumulants for Learning Linear Non-Gaussian Latent Polytree"],"prefix":"10.1109","author":[{"given":"Ruichu","family":"Cai","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Guangdong University of Technology,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Guangdong University of Technology,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengming","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Guangdong University of Technology,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistic, Beijing Technology and Business University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Xiang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Guangdong University of Technology,Guangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhifeng","family":"Hao","sequence":"additional","affiliation":[{"name":"College of Science, Shantou University,Shantou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Spectral methods for learning multivariate latent tree structure","volume":"24","author":"Anandkumar","year":"2011","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-842X.2004.00360.x"},{"key":"ref3","article-title":"Triad constraints for learning causal structure of latent variables","volume":"32","author":"Cai","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20585"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/397"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2010.5706978"},{"key":"ref7","first-page":"1771","article-title":"Learning latent tree graphical models","author":"Jin Choi","year":"2011","journal-title":"Journal of Machine Learning Research 12"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054142"},{"key":"ref9","first-page":"2597","article-title":"EM\u2019s convergence in Gaussian latent tree models","volume-title":"Conference on Learning Theory","author":"Dagan"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3150\/15-BEJ775"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/NAECON.2012.6531037"},{"key":"ref12","first-page":"5549","article-title":"Latent hierarchical causal structure discovery with rank constraints","volume":"35","author":"Huang","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"journal-title":"Learning Tractable Probabilistic Models (2014)","article-title":"Learning ancestral polytrees","author":"Li","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-013-5393-0"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1201\/9781351077118"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1613\/jair.3879"},{"volume-title":"Elements of causal inference: foundations and learning algorithms","year":"2017","author":"Peters","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1017\/S0266466600162012"},{"key":"ref19","article-title":"Goodness-of-Fit Tests for Linear Non-Gaussian Structural Equation Models","author":"Schkoda","year":"2023","journal-title":"arXiv preprint"},{"key":"ref20","article-title":"An algorithm to learn polytree networks with hidden nodes","volume":"32","author":"Sepehr","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref21","article-title":"Generalization of the Tetrad Representation Theorem","volume-title":"DIMACS Technical Report 93\u201368","author":"Shafera","year":"1993"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2008.11.018"},{"key":"ref23","article-title":"A linear non-Gaussian acyclic model for causal discovery","volume":"7.10","author":"Shimizu","year":"2006","journal-title":"Journal of Machine Learning Research"},{"key":"ref24","article-title":"Learning the Structure of Linear Latent Variable Models","volume":"7.2","author":"Silva","year":"2006","journal-title":"Journal of Machine Learning Research"},{"key":"ref25","first-page":"334","article-title":"Hierarchical tensor decomposition of latent tree graphical models","volume-title":"International Conference on Machine Learning","author":"Song"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1754.001.0001"},{"key":"ref27","first-page":"1960","article-title":"Learning linear non-Gaussian polytree models","volume-title":"Uncertainty in Artificial Intelligence","author":"Tramontano","year":"2022"},{"key":"ref28","first-page":"14891","article-title":"Generalized independent noise condition for estimating latent variable causal graphs","volume":"33","author":"Xie","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref29","first-page":"24370","article-title":"Identification of linear non-gaussian latent hierarchical structure","volume-title":"International Conference on Machine Learning","author":"Xie"},{"key":"ref30","first-page":"10082","article-title":"Learning mixed latent tree models","volume":"21.1","author":"Zhou","year":"2020","journal-title":"The Journal of Machine Learning Research"}],"event":{"name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","start":{"date-parts":[[2025,5,5]]},"location":"Compiegne, France","end":{"date-parts":[[2025,5,7]]}},"container-title":["2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11033175\/11033221\/11033496.pdf?arnumber=11033496","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T06:03:33Z","timestamp":1750745013000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11033496\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,5]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/cscwd64889.2025.11033496","relation":{},"subject":[],"published":{"date-parts":[[2025,5,5]]}}}