{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T20:00:07Z","timestamp":1768593607477,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":54,"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\/3097983.3098103","type":"proceedings-article","created":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T18:35:54Z","timestamp":1501871754000},"page":"1215-1224","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Convex Factorization Machine for Toxicogenomics Prediction"],"prefix":"10.1145","author":[{"given":"Makoto","family":"Yamada","sequence":"first","affiliation":[{"name":"RIKEN AIP, JST PRESTO, Tokyo, Japan"}]},{"given":"Wenzhao","family":"Lian","sequence":"additional","affiliation":[{"name":"Vicarious, San Francisco, CA, USA"}]},{"given":"Amit","family":"Goyal","sequence":"additional","affiliation":[{"name":"Yahoo Research, Sunnyvale, CA, USA"}]},{"given":"Jianhui","family":"Chen","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond , WA, USA"}]},{"given":"Kishan","family":"Wimalawarne","sequence":"additional","affiliation":[{"name":"Kyoto University, Kyoto, Japan"}]},{"given":"Suleiman A.","family":"Khan","sequence":"additional","affiliation":[{"name":"University of Helsinki, Helsinki, Finland"}]},{"given":"Samuel","family":"Kaski","sequence":"additional","affiliation":[{"name":"Aalto University, Espoo, Finland"}]},{"given":"Hiroshi","family":"Mamitsuka","sequence":"additional","affiliation":[{"name":"Kyoto University & Aalto University, Uji, Japan"}]},{"given":"Yi","family":"Chang","sequence":"additional","affiliation":[{"name":"Huawei Research America, Santa Clara, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2017,8,4]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Haim Avron Satyen Kale Shiva Kasiviswanathan and Vikas Sindhwani 2012. Efficient and practical stochastic subgradient descent for nuclear norm regularization ICML.  Haim Avron Satyen Kale Shiva Kasiviswanathan and Vikas Sindhwani 2012. Efficient and practical stochastic subgradient descent for nuclear norm regularization ICML."},{"key":"e_1_3_2_1_2_1","volume-title":"Convex sparse matrix factorizations. arXiv preprint arXiv:0812.1869","author":"Bach Francis","year":"2008","unstructured":"Francis Bach , Julien Mairal , and Jean Ponce . 2008. Convex sparse matrix factorizations. arXiv preprint arXiv:0812.1869 ( 2008 ). Francis Bach, Julien Mairal, and Jean Ponce. 2008. Convex sparse matrix factorizations. arXiv preprint arXiv:0812.1869 (2008)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/3120406.3120409"},{"key":"e_1_3_2_1_4_1","unstructured":"Guillaume Bouchard Dawei Yin and Shengbo Guo 2013. Convex collective matrix factorization. In AISTATS.  Guillaume Bouchard Dawei Yin and Shengbo Guo 2013. Convex collective matrix factorization. In AISTATS."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1137\/080738970"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-009-9045-5"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02310791"},{"key":"e_1_3_2_1_8_1","unstructured":"Joon Hee Choi and S Vishwanathan 2014. DFacTo: Distributed factorization of tensors. In NIPS.  Joon Hee Choi and S Vishwanathan 2014. DFacTo: Distributed factorization of tensors. In NIPS."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1137\/050626090"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Maryam Fazel Haitham Hindi and Stephen P Boyd. 2001. A rank minimization heuristic with application to minimum order system approximation ACC.  Maryam Fazel Haitham Hindi and Stephen P Boyd. 2001. A rank minimization heuristic with application to minimum order system approximation ACC.","DOI":"10.1109\/ACC.2001.945730"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/nav.3800030109"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Suriya Gunasekar Makoto Yamada Dawei Yin and Yi Chang. 2015. Consistent Collective Matrix Completion under Joint Low Rank Structure AISTATS.  Suriya Gunasekar Makoto Yamada Dawei Yin and Yi Chang. 2015. Consistent Collective Matrix Completion under Joint Low Rank Structure AISTATS.","DOI":"10.1109\/CISS.2015.7086879"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-78773-0_27"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Liangjie Hong Aziz S Doumith and Brian D Davison. 2013. Co-factorization machines: modeling user interests and predicting individual decisions in twitter WSDM.  Liangjie Hong Aziz S Doumith and Brian D Davison. 2013. Co-factorization machines: modeling user interests and predicting individual decisions in twitter WSDM.","DOI":"10.1145\/2433396.2433467"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1038\/ng.3624"},{"key":"e_1_3_2_1_16_1","unstructured":"Cho-Jui Hsieh and Peder Olsen 2014. Nuclear norm minimization via active subspace selection ICML.  Cho-Jui Hsieh and Peder Olsen 2014. Nuclear norm minimization via active subspace selection ICML."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btn409"},{"key":"e_1_3_2_1_18_1","unstructured":"Martin Jaggi. 2013. Revisiting Frank-Wolfe: Projection-free sparse convex optimization ICML.  Martin Jaggi. 2013. Revisiting Frank-Wolfe: Projection-free sparse convex optimization ICML."},{"key":"e_1_3_2_1_19_1","unstructured":"Martin Jaggi and Marek Sulovsky 2010. A simple algorithm for nuclear norm regularized problems ICML.  Martin Jaggi and Marek Sulovsky 2010. A simple algorithm for nuclear norm regularized problems ICML."},{"key":"e_1_3_2_1_20_1","unstructured":"Shuiwang Ji and Jieping Ye 2009. An accelerated gradient method for trace norm minimization ICML.  Shuiwang Ji and Jieping Ye 2009. An accelerated gradient method for trace norm minimization ICML."},{"key":"e_1_3_2_1_21_1","unstructured":"Suleiman A Khan and Samuel Kaski 2014. Bayesian multi-view tensor factorization. ECML.  Suleiman A Khan and Samuel Kaski 2014. Bayesian multi-view tensor factorization. ECML."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-016-5563-y"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btu456"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2460697"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1132939"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Wenzhao Lian Piyush Rai Esther Salazar and Lawrence Carin. 2015. Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data AAAI.  Wenzhao Lian Piyush Rai Esther Salazar and Lawrence Carin. 2015. Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data AAAI.","DOI":"10.1609\/aaai.v29i1.9549"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-010-0437-8"},{"key":"e_1_3_2_1_29_1","volume-title":"A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe. AISTATS","author":"Locatello Francesco","year":"2017","unstructured":"Francesco Locatello , Rajiv Khanna , Michael Tschannen , and Martin Jaggi 2017. A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe. AISTATS ( 2017 ). Francesco Locatello, Rajiv Khanna, Michael Tschannen, and Martin Jaggi 2017. A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe. AISTATS (2017)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.5555\/1756006.1859931"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Bradley N Miller Istvan Albert Shyong K Lam Joseph A Konstan and John Riedl 2003. MovieLens unplugged: Experiences with an occasionally connected recommender system IUI.  Bradley N Miller Istvan Albert Shyong K Lam Joseph A Konstan and John Riedl 2003. MovieLens unplugged: Experiences with an occasionally connected recommender system IUI.","DOI":"10.1145\/604045.604094"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1002\/cem.1223"},{"key":"e_1_3_2_1_33_1","volume-title":"Nathan Nan Liu, and Qiang Yang","author":"Pan Weike","year":"2010","unstructured":"Weike Pan , Evan Wei Xiang , Nathan Nan Liu, and Qiang Yang 2010 . Transfer Learning in Collaborative Filtering for Sparsity Reduction. AAAI. Weike Pan, Evan Wei Xiang, Nathan Nan Liu, and Qiang Yang 2010. Transfer Learning in Collaborative Filtering for Sparsity Reduction. AAAI."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12532-013-0053-8"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2168752.2168771"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.14778\/2535573.2488340"},{"key":"e_1_3_2_1_38_1","unstructured":"Shai Shalev-Shwartz Alon Gonen and Ohad Shamir. 2011. Large-Scale Convex Minimization with a Low-Rank Constraint ICML.  Shai Shalev-Shwartz Alon Gonen and Ohad Shamir. 2011. Large-Scale Convex Minimization with a Low-Rank Constraint ICML."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrc1951"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Ajit P Singh and Geoffrey J Gordon 2008. Relational learning via collective matrix factorization KDD.  Ajit P Singh and Geoffrey J Gordon 2008. Relational learning via collective matrix factorization KDD.","DOI":"10.21236\/ADA486804"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bts413"},{"key":"e_1_3_2_1_42_1","first-page":"615","article-title":"An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems","volume":"6","author":"Toh Kim-Chuan","year":"2010","unstructured":"Kim-Chuan Toh and Sangwoon Yun 2010 . An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems . Pacific Journal of Optimization Vol. 6 , 615 -- 640 (2010), 15. Kim-Chuan Toh and Sangwoon Yun 2010. An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems. Pacific Journal of Optimization Vol. 6, 615--640 (2010), 15.","journal-title":"Pacific Journal of Optimization"},{"key":"e_1_3_2_1_43_1","volume-title":"Estimation of low-rank tensors via convex optimization. arXiv preprint arXiv:1010.0789","author":"Tomioka Ryota","year":"2010","unstructured":"Ryota Tomioka , Kohei Hayashi , and Hisashi Kashima . 2010. Estimation of low-rank tensors via convex optimization. arXiv preprint arXiv:1010.0789 ( 2010 ). Ryota Tomioka, Kohei Hayashi, and Hisashi Kashima. 2010. Estimation of low-rank tensors via convex optimization. arXiv preprint arXiv:1010.0789 (2010)."},{"key":"e_1_3_2_1_44_1","unstructured":"Ryota Tomioka and Taiji Suzuki 2013. Convex tensor decomposition via structured schatten norm regularization NIPS.  Ryota Tomioka and Taiji Suzuki 2013. Convex tensor decomposition via structured schatten norm regularization NIPS."},{"key":"e_1_3_2_1_45_1","unstructured":"Ryota Tomioka Taiji Suzuki Kohei Hayashi and Hisashi Kashima 2011. Statistical performance of convex tensor decomposition NIPS.  Ryota Tomioka Taiji Suzuki Kohei Hayashi and Hisashi Kashima 2011. Statistical performance of convex tensor decomposition NIPS."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289464"},{"key":"e_1_3_2_1_47_1","unstructured":"Marina Vinyes and Guillaume Obozinski 2017. Fast column generation for atomic norm regularization AISTATS.  Marina Vinyes and Guillaume Obozinski 2017. Fast column generation for atomic norm regularization AISTATS."},{"key":"e_1_3_2_1_48_1","unstructured":"Seppo Virtanen Arto Klami and Samuel Kaski. 2011. Bayesian CCA via group sparsity. In ICML.  Seppo Virtanen Arto Klami and Samuel Kaski. 2011. Bayesian CCA via group sparsity. In ICML."},{"key":"e_1_3_2_1_49_1","unstructured":"Seppo Virtanen Arto Klami Suleiman A Khan and Samuel Kaski 2012. Bayesian Group Factor Analysis. In AISTATS.  Seppo Virtanen Arto Klami Suleiman A Khan and Samuel Kaski 2012. Bayesian Group Factor Analysis. In AISTATS."},{"key":"e_1_3_2_1_50_1","unstructured":"Mingrui Wu. 2007. Collaborative filtering via ensembles of matrix factorizations KDD.  Mingrui Wu. 2007. Collaborative filtering via ensembles of matrix factorizations KDD."},{"key":"e_1_3_2_1_51_1","volume-title":"Evan Wei Xiang, and Qiang Yang","author":"Xu Qian","year":"2010","unstructured":"Qian Xu , Evan Wei Xiang, and Qiang Yang 2010 . Protein-protein interaction prediction via collective matrix factorization BIBM. Qian Xu, Evan Wei Xiang, and Qiang Yang 2010. Protein-protein interaction prediction via collective matrix factorization BIBM."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"crossref","unstructured":"Wei Xu Xin Liu and Yihong Gong 2003. Document clustering based on non-negative matrix factorization SIGIR.  Wei Xu Xin Liu and Yihong Gong 2003. Document clustering based on non-negative matrix factorization SIGIR.","DOI":"10.1145\/860435.860485"},{"key":"e_1_3_2_1_53_1","volume-title":"Convex Factorization Machine for Regression. arXiv preprint arXiv:1507.01073","author":"Yamada Makoto","year":"2015","unstructured":"Makoto Yamada , Wenzhao Lian , Amit Goyal , Jianhui Chen , Kishan Wimalawarne , Suleiman A Khan , Samuel Kaski , Hiroshi Mamitsuka , and Yi Chang 2015. Convex Factorization Machine for Regression. arXiv preprint arXiv:1507.01073 ( 2015 ). Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A Khan, Samuel Kaski, Hiroshi Mamitsuka, and Yi Chang 2015. Convex Factorization Machine for Regression. arXiv preprint arXiv:1507.01073 (2015)."},{"key":"e_1_3_2_1_54_1","unstructured":"Yan Yan Mingkui Tan Ivor Tsang Yi Yang Chengqi Zhang and Qinfeng Shi. 2015. Scalable maximum margin matrix factorization by active Riemannian subspace search IJCAI.  Yan Yan Mingkui Tan Ivor Tsang Yi Yang Chengqi Zhang and Qinfeng Shi. 2015. Scalable maximum margin matrix factorization by active Riemannian subspace search IJCAI."}],"event":{"name":"KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Halifax NS Canada","acronym":"KDD '17","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"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\/3097983.3098103","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098103","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\/3097983.3098103"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,4]]},"references-count":54,"alternative-id":["10.1145\/3097983.3098103","10.1145\/3097983"],"URL":"https:\/\/doi.org\/10.1145\/3097983.3098103","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"}}]}}