{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T21:46:34Z","timestamp":1766180794390,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2015,8,10]],"date-time":"2015-08-10T00:00:00Z","timestamp":1439164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NSF IIS-0953662, NSF III-1421100, NSF III-1421057"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,8,10]]},"DOI":"10.1145\/2783258.2783391","type":"proceedings-article","created":{"date-parts":[[2015,8,7]],"date-time":"2015-08-07T15:38:27Z","timestamp":1438961907000},"page":"1385-1394","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Structural Graphical Lasso for Learning Mouse Brain Connectivity"],"prefix":"10.1145","author":[{"given":"Sen","family":"Yang","sequence":"first","affiliation":[{"name":"IDST at Alibaba Group, Seattle, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Sun","sequence":"additional","affiliation":[{"name":"Arizona State University, Tempe, AZ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuiwang","family":"Ji","sequence":"additional","affiliation":[{"name":"Old Dominion University, Norfolk, VA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Wonka","sequence":"additional","affiliation":[{"name":"King Abdullah University of Science and Technology, Thuwal, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ian","family":"Davidson","sequence":"additional","affiliation":[{"name":"University of California, Davis, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jieping","family":"Ye","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,8,10]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"http:\/\/developingmouse.brain-map.org","author":"Mouse Brain Atlas Allen Developing","year":"2013","unstructured":"Allen Developing Mouse Brain Atlas . http:\/\/developingmouse.brain-map.org . 2013 . Allen Developing Mouse Brain Atlas. http:\/\/developingmouse.brain-map.org. 2013."},{"key":"e_1_3_2_2_2_1","volume-title":"Technical White Paper: Informatics Data Processing for the Allen Developing Mouse Brain Atlas","author":"Allen Institute for Brain Science.","year":"2012","unstructured":"Allen Institute for Brain Science. Technical White Paper: Informatics Data Processing for the Allen Developing Mouse Brain Atlas , 2012 . Allen Institute for Brain Science. Technical White Paper: Informatics Data Processing for the Allen Developing Mouse Brain Atlas, 2012."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1214\/12-STS394"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/1390681.1390696"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"e_1_3_2_2_6_1","volume-title":"Network-based classification of breast cancer metastasis. Molecular systems biology, 3(1)","author":"Chuang H.Y.","year":"2007","unstructured":"H.Y. Chuang , E. Lee , Y.T. Liu , D. Lee , and T. Ideker . Network-based classification of breast cancer metastasis. Molecular systems biology, 3(1) , 2007 . H.Y. Chuang, E. Lee, Y.T. Liu, D. Lee, and T. Ideker. Network-based classification of breast cancer metastasis. Molecular systems biology, 3(1), 2007."},{"key":"e_1_3_2_2_7_1","volume-title":"A proximal newton framework for composite minimization: Graph learning without cholesky decompositions and matrix inversions. arXiv preprint arXiv:1301.1459","author":"Dinh Q.","year":"2013","unstructured":"Q. Dinh , A. Kyrillidis , and V. Cevher . A proximal newton framework for composite minimization: Graph learning without cholesky decompositions and matrix inversions. arXiv preprint arXiv:1301.1459 , 2013 . Q. Dinh, A. Kyrillidis, and V. Cevher. A proximal newton framework for composite minimization: Graph learning without cholesky decompositions and matrix inversions. arXiv preprint arXiv:1301.1459, 2013."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxm045"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1089\/brain.2011.0008"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asq060"},{"key":"e_1_3_2_2_11_1","volume-title":"Sparse inverse covariance matrix estimation using quadratic approximation. Advances in Neural Information Processing Systems (NIPS), 24","author":"Hsieh C.J.","year":"2011","unstructured":"C.J. Hsieh , M. A. Sustik , I. S. Dhillon , and P. Ravikumar . Sparse inverse covariance matrix estimation using quadratic approximation. Advances in Neural Information Processing Systems (NIPS), 24 , 2011 . C.J. Hsieh, M. A. Sustik, I. S. Dhillon, and P. Ravikumar. Sparse inverse covariance matrix estimation using quadratic approximation. Advances in Neural Information Processing Systems (NIPS), 24, 2011."},{"key":"e_1_3_2_2_12_1","first-page":"808","volume-title":"Advances in Neural Information Processing Systems (NIPS)","author":"Huang S.","year":"2009","unstructured":"S. Huang , J. Li , L. Sun , J. Liu , T. Wu , K. Chen , A. Fleisher , E. Reiman , and J. Ye . Learning brain connectivity of alzheimer's disease from neuroimaging data . In Advances in Neural Information Processing Systems (NIPS) , pages 808 -- 816 , 2009 . S. Huang, J. Li, L. Sun, J. Liu, T. Wu, K. Chen, A. Fleisher, E. Reiman, and J. Ye. Learning brain connectivity of alzheimer's disease from neuroimaging data. In Advances in Neural Information Processing Systems (NIPS), pages 808--816, 2009."},{"key":"e_1_3_2_2_13_1","first-page":"73","volume-title":"Proceedings of The 30th International Conference on Machine Learning","author":"Kolar Mladen","year":"2013","unstructured":"Mladen Kolar , Han Liu , and Eric Xing . Markov network estimation from multi-attribute data . In Proceedings of The 30th International Conference on Machine Learning , pages 73 -- 81 , 2013 . Mladen Kolar, Han Liu, and Eric Xing. Markov network estimation from multi-attribute data. In Proceedings of The 30th International Conference on Machine Learning, pages 73--81, 2013."},{"key":"e_1_3_2_2_14_1","volume-title":"Proximal newton-type methods for minimizing convex objective functions in composite form. arXiv preprint arXiv:1206.1623","author":"Lee J. D.","year":"2012","unstructured":"J. D. Lee , Y. Sun , and M. A. Saunders . Proximal newton-type methods for minimizing convex objective functions in composite form. arXiv preprint arXiv:1206.1623 , 2012 . J. D. Lee, Y. Sun, and M. A. Saunders. Proximal newton-type methods for minimizing convex objective functions in composite form. arXiv preprint arXiv:1206.1623, 2012."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12532-010-0020-6"},{"key":"e_1_3_2_2_16_1","volume-title":"Advances in Neural Information Processing Systems (NIPS)","author":"Liu H.","year":"2011","unstructured":"H. Liu , K. Roeder , and L. Wasserman . Stability approach to regularization selection (StARS) for high dimensional graphical models . In Advances in Neural Information Processing Systems (NIPS) , 2011 . H. Liu, K. Roeder, and L. Wasserman. Stability approach to regularization selection (StARS) for high dimensional graphical models. In Advances in Neural Information Processing Systems (NIPS), 2011."},{"key":"e_1_3_2_2_17_1","volume-title":"SLEP: Sparse Learning with Efficient Projections","author":"Liu J.","year":"2009","unstructured":"J. Liu , S. Ji , and J. Ye . SLEP: Sparse Learning with Efficient Projections . Arizona State University , 2009 . J. Liu, S. Ji, and J. Ye. SLEP: Sparse Learning with Efficient Projections. Arizona State University, 2009."},{"key":"e_1_3_2_2_18_1","first-page":"1459","volume-title":"Advances in Neural Information Processing Systems (NIPS)","author":"Liu J.","year":"2010","unstructured":"J. Liu and J. Ye . Moreau-yosida regularization for grouped tree structure learning . In Advances in Neural Information Processing Systems (NIPS) , pages 1459 -- 1467 , 2010 . J. Liu and J. Ye. Moreau-yosida regularization for grouped tree structure learning. In Advances in Neural Information Processing Systems (NIPS), pages 1459--1467, 2010."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1137\/070695915"},{"key":"e_1_3_2_2_20_1","volume-title":"A hierarchical graphical model for big inverse covariance estimation with an application to fmri. arXiv preprint arXiv:1403.4698","author":"Luo Xi","year":"2014","unstructured":"Xi Luo . A hierarchical graphical model for big inverse covariance estimation with an application to fmri. arXiv preprint arXiv:1403.4698 , 2014 . Xi Luo. A hierarchical graphical model for big inverse covariance estimation with an application to fmri. arXiv preprint arXiv:1403.4698, 2014."},{"key":"e_1_3_2_2_21_1","first-page":"781","article-title":"Exact covariance thresholding into connected components for large-scale graphical lasso","volume":"13","author":"Mazumder R.","year":"2012","unstructured":"R. Mazumder and T. Hastie . Exact covariance thresholding into connected components for large-scale graphical lasso . The Journal of Machine Learning Research , 13 : 781 -- 794 , 2012 . R. Mazumder and T. Hastie. Exact covariance thresholding into connected components for large-scale graphical lasso. The Journal of Machine Learning Research, 13:781--794, 2012.","journal-title":"The Journal of Machine Learning Research"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1214\/12-EJS740"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1214\/009053606000000281"},{"key":"e_1_3_2_2_24_1","volume-title":"Advances in Neural Information Processing Systems (NIPS)","author":"Olsen P. A.","year":"2012","unstructured":"P. A. Olsen , F. Oztoprak , J. Nocedal , and S. J. Rennie . Newton-like methods for sparse inverse covariance estimation . In Advances in Neural Information Processing Systems (NIPS) , 2012 . P. A. Olsen, F. Oztoprak, J. Nocedal, and S. J. Rennie. Newton-like methods for sparse inverse covariance estimation. In Advances in Neural Information Processing Systems (NIPS), 2012."},{"key":"e_1_3_2_2_25_1","volume-title":"Advances in Neural Information Processing Systems (NIPS)","author":"Scheinberg K.","year":"2010","unstructured":"K. Scheinberg , S. Ma , and D. Goldfarb . Sparse inverse covariance selection via alternating linearization methods . In Advances in Neural Information Processing Systems (NIPS) , 2010 . K. Scheinberg, S. Ma, and D. Goldfarb. Sparse inverse covariance selection via alternating linearization methods. In Advances in Neural Information Processing Systems (NIPS), 2010."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2014.05.033"},{"key":"e_1_3_2_2_27_1","series-title":"Series B (Methodological)","first-page":"267","volume-title":"Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society","author":"Tibshirani R.","year":"1996","unstructured":"R. Tibshirani . Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society . Series B (Methodological) , pages 267 -- 288 , 1996 . R. Tibshirani. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological), pages 267--288, 1996."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-007-0170-0"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1137\/090772514"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1198\/jcgs.2011.11051a"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2016892"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339675"},{"key":"e_1_3_2_2_33_1","volume-title":"Fused multiple graphical lasso. arXiv preprint arXiv:1209.2139v2","author":"Yang Sen","year":"2013","unstructured":"Sen Yang , Zhaosong Lu , Xiaotong Shen , Peter Wonka , and Jieping Ye . Fused multiple graphical lasso. arXiv preprint arXiv:1209.2139v2 , 2013 . Sen Yang, Zhaosong Lu, Xiaotong Shen, Peter Wonka, and Jieping Ye. Fused multiple graphical lasso. arXiv preprint arXiv:1209.2139v2, 2013."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2408736.2408739"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asm018"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10915-011-9507-1"}],"event":{"name":"KDD '15: The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Sydney NSW Australia","acronym":"KDD '15"},"container-title":["Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2783258.2783391","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2783258.2783391","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:07:23Z","timestamp":1750223243000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2783258.2783391"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,8,10]]},"references-count":36,"alternative-id":["10.1145\/2783258.2783391","10.1145\/2783258"],"URL":"https:\/\/doi.org\/10.1145\/2783258.2783391","relation":{},"subject":[],"published":{"date-parts":[[2015,8,10]]},"assertion":[{"value":"2015-08-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}