{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:08:14Z","timestamp":1750306094384,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T00:00:00Z","timestamp":1501804800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,8,4]]},"DOI":"10.1145\/3097983.3098091","type":"proceedings-article","created":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T18:35:54Z","timestamp":1501871754000},"page":"857-865","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["SPOT"],"prefix":"10.1145","author":[{"given":"Qiming","family":"Huang","sequence":"first","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Zhu","sequence":"additional","affiliation":[{"name":"Purdue University & Tsinghua University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,8,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the 29th International Conference on Machine Learning (ICML-12)","author":"Balakrishnan Sivaraman","year":"2012","unstructured":"Sivaraman Balakrishnan , Kriti Puniyani , and John D Lafferty . 2012 . Sparse Additive Functional and Kernel CCA . In Proceedings of the 29th International Conference on Machine Learning (ICML-12) . 911--918. Sivaraman Balakrishnan, Kriti Puniyani, and John D Lafferty. 2012. Sparse Additive Functional and Kernel CCA. In Proceedings of the 29th International Conference on Machine Learning (ICML-12). 911--918."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1032181158"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1985.10478157"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2015.01.001"},{"key":"e_1_3_2_1_5_1","series-title":"Applied Mathematical Sciences","volume-title":"A practical guide to splines, revised Edition","author":"Boor Carl De","year":"2001","unstructured":"Carl De Boor . 2001. A practical guide to splines, revised Edition , Vol. 27 of Applied Mathematical Sciences . ( 2001 ). Carl De Boor. 2001. A practical guide to splines, revised Edition, Vol. 27 of Applied Mathematical Sciences. (2001)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000253"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214501753382273"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/83.1.189"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOS1346"},{"volume-title":"Generalized additive models","author":"Hastie Trevor J","key":"e_1_3_2_1_10_1","unstructured":"Trevor J Hastie and Robert J Tibshirani 1990. Generalized additive models . Vol. Vol. 43 . CRC Press . Trevor J Hastie and Robert J Tibshirani 1990. Generalized additive models. Vol. Vol. 43. CRC Press."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1214\/009053604000000814"},{"key":"e_1_3_2_1_12_1","volume-title":"A selective review of group selection in high-dimensional models. Statistical science: a review journal of the Institute of Mathematical Statistics","author":"Huang Jian","year":"2012","unstructured":"Jian Huang , Patrick Breheny , and Shuangge Ma. 2012. A selective review of group selection in high-dimensional models. Statistical science: a review journal of the Institute of Mathematical Statistics , Vol. 27 , 4 ( 2012 ). Jian Huang, Patrick Breheny, and Shuangge Ma. 2012. A selective review of group selection in high-dimensional models. Statistical science: a review journal of the Institute of Mathematical Statistics, Vol. 27, 4 (2012)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOS781"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2009.11.008"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2012.746068"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1214\/009053606000000722"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000848"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.5555\/2789272.2789291"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOS683"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12023"},{"key":"e_1_3_2_1_21_1","volume-title":"The 2010 International Joint Conference on. IEEE, 1--7.","author":"Maldonado Sebasti\u00e1n","year":"2010","unstructured":"Sebasti\u00e1n Maldonado and Richard Weber 2010 . Feature selection for support vector regression via kernel penalization Neural Networks (IJCNN) , The 2010 International Joint Conference on. IEEE, 1--7. Sebasti\u00e1n Maldonado and Richard Weber 2010. Feature selection for support vector regression via kernel penalization Neural Networks (IJCNN), The 2010 International Joint Conference on. IEEE, 1--7."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOS692"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1137\/S0036139997327794"},{"key":"e_1_3_2_1_24_1","unstructured":"Pradeep Ravikumar John Lafferty Han Liu and Larry Wasserman 2007. SpAM: Sparse Additive Models. In Advances in Neural Information Processing Systems. 1201--1208.  Pradeep Ravikumar John Lafferty Han Liu and Larry Wasserman 2007. SpAM: Sparse Additive Models. In Advances in Neural Information Processing Systems. 1201--1208."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(01)00264-8"},{"key":"e_1_3_2_1_26_1","first-page":"31","article-title":"Conditional probability density and regression estimators","volume":"25","author":"Rosenblatt Murray","year":"1969","unstructured":"Murray Rosenblatt . 1969 . Conditional probability density and regression estimators . Multivariate Analysis II Vol. 25 (1969), 31 . Murray Rosenblatt. 1969. Conditional probability density and regression estimators. Multivariate Analysis II Vol. 25 (1969), 31.","journal-title":"Multivariate Analysis II"},{"volume-title":"Spline functions: basic theory","author":"Schumaker Larry","key":"e_1_3_2_1_27_1","unstructured":"Larry Schumaker . 1981. Spline functions: basic theory . Wiley , New York . Larry Schumaker. 1981. Spline functions: basic theory. Wiley, New York."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176344136"},{"key":"e_1_3_2_1_29_1","unstructured":"Le Song Eric P Xing and Ankur P Parikh 2011. Kernel embeddings of latent tree graphical models. Advances in Neural Information Processing Systems. 2708--2716.  Le Song Eric P Xing and Ankur P Parikh 2011. Kernel embeddings of latent tree graphical models. Advances in Neural Information Processing Systems. 2708--2716."},{"key":"e_1_3_2_1_30_1","unstructured":"Masashi Sugiyama Ichiro Takeuchi Taiji Suzuki Takafumi Kanamori Hirotaka Hachiya and Daisuke Okanohara 2010. Conditional density estimation via least-squares density ratio estimation International Conference on Artificial Intelligence and Statistics. 781--788.  Masashi Sugiyama Ichiro Takeuchi Taiji Suzuki Takafumi Kanamori Hirotaka Hachiya and Daisuke Okanohara 2010. Conditional density estimation via least-squares density ratio estimation International Conference on Artificial Intelligence and Statistics. 781--788."},{"key":"e_1_3_2_1_31_1","series-title":"Series B (Methodological)","volume-title":"Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society","author":"Tibshirani Robert","year":"1996","unstructured":"Robert Tibshirani . 1996. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society . Series B (Methodological) ( 1996 ), 267--288. Robert Tibshirani. 1996. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological) (1996), 267--288."},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of the 29th International Conference on Machine Learning (ICML-12)","author":"Yin Junming","year":"2012","unstructured":"Junming Yin , Xi Chen , and Eric P Xing 2012 . Group Sparse Additive Models . In Proceedings of the 29th International Conference on Machine Learning (ICML-12) . 871--878. Junming Yin, Xi Chen, and Eric P Xing 2012. Group Sparse Additive Models. In Proceedings of the 29th International Conference on Machine Learning (ICML-12). 871--878."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00532.x"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248637"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000802"}],"event":{"name":"KDD '17: The 23rd 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":"Halifax NS Canada","acronym":"KDD '17"},"container-title":["Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098091","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098091","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:30:26Z","timestamp":1750217426000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098091"}},"subtitle":["Sparse Optimal Transformations for High Dimensional Variable Selection and Exploratory Regression Analysis"],"short-title":[],"issued":{"date-parts":[[2017,8,4]]},"references-count":35,"alternative-id":["10.1145\/3097983.3098091","10.1145\/3097983"],"URL":"https:\/\/doi.org\/10.1145\/3097983.3098091","relation":{},"subject":[],"published":{"date-parts":[[2017,8,4]]},"assertion":[{"value":"2017-08-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}