{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T14:59:16Z","timestamp":1767970756164,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":53,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,4,8]],"date-time":"2019-04-08T00:00:00Z","timestamp":1554681600000},"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":[[2019,4,8]]},"DOI":"10.1145\/3297280.3297409","type":"proceedings-article","created":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T12:18:47Z","timestamp":1556713127000},"page":"1286-1295","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Exact gaussian process regression with distributed computations"],"prefix":"10.1145","author":[{"given":"Duc-Trung","family":"Nguyen","sequence":"first","affiliation":[{"name":"EURECOM, Campus Sophia Tech, France"}]},{"given":"Maurizio","family":"Filippone","sequence":"additional","affiliation":[{"name":"EURECOM, Campus Sophia Tech, France"}]},{"given":"Pietro","family":"Michiardi","sequence":"additional","affiliation":[{"name":"EURECOM, Campus Sophia Tech, France"}]}],"member":"320","published-online":{"date-parts":[[2019,4,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","unstructured":"E. Anderson et al. 1999. LAPACK Users' Guide (Third Ed.). Society for Industrial and Applied Mathematics Philadelphia PA USA.","DOI":"10.5555\/323215"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/110382.110385"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-0190(02)00222-3"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","unstructured":"L. S. Blackford et al. 1997. ScaLAPACK Users' Guide. Society for Industrial and Applied Mathematics Philadelphia PA.","DOI":"10.5555\/265932"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1155\/1996\/483083"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the Second SIAM International Conference on Data Mining","author":"Choudhury Arindam","year":"2002","unstructured":"Arindam Choudhury, Prasanth B. Nair, and Andy J. Keane. 2002. A Data Parallel Approach for Large-Scale Gaussian Process Modeling. In Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, USA, April 11--13, 2002. SIAM, 95--111."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305381.3305473"},{"key":"e_1_3_2_1_8_1","unstructured":"Zhenwen Dai Andreas C. Damianou James Hensman and Neil D. Lawrence. 2014. Gaussian Process Models with Parallelization and GPU acceleration. CoRR abs\/1410.4984 (2014). arXiv:1410.4984"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.38"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/3122009.3122049"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045276"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/42288.42291"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/77626.79170"},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning (Proceedings of Machine Learning Research), Jennifer Dy and Andreas Krause (Eds.)","volume":"80","author":"Falkner Stefan","year":"2018","unstructured":"Stefan Falkner, Aaron Klein, and Frank Hutter. 2018. BOHB: Robust and Efficient Hyperparameter Optimization at Scale. In Proceedings of the 35th International Conference on Machine Learning (Proceedings of Machine Learning Research), Jennifer Dy and Andreas Krause (Eds.), Vol. 80. PMLR, Stockholmsmassan, Stockholm Sweden, 1437--1446."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969190"},{"key":"e_1_3_2_1_16_1","volume-title":"Parallel Cholesky factorization on a shared-memory multiprocessor. Linear Algebra and its applications 77","author":"George Alan","year":"1986","unstructured":"Alan George, Michael T Heath, and Joseph Liu. 1986. Parallel Cholesky factorization on a shared-memory multiprocessor. Linear Algebra and its applications 77 (1986), 165--187."},{"key":"e_1_3_2_1_17_1","first-page":"263","article-title":"An Algorithm for the Organization of Information","volume":"146","author":"Georgy Adelson-Velsky Evgenii Landis","year":"1962","unstructured":"Evgenii Landis Georgy Adelson-Velsky. 1962. An Algorithm for the Organization of Information. Doklady Akademii Nauk USSR 146, 2 (1962), 263--266.","journal-title":"Doklady Akademii Nauk USSR"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"W.R. Gilks S. Richardson and D. Spiegelhalter. 1995. Markov Chain Monte Carlo in Practice. Taylor & Francis.","DOI":"10.1201\/b14835"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/11558958_93"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.5555\/1775059.1775138"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.14778\/2367502.2367510"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/3122009.3242008"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","unstructured":"James Hensman Nicol\u00e1 Fusi and Neil D. Lawrence. 2013. Gaussian Processes for Big Data. CoRR abs\/1309.6835 (2013). arXiv:1309.6835","DOI":"10.5555\/3023638.3023667"},{"key":"e_1_3_2_1_24_1","volume-title":"2016 IEEE International Conference on Big Data (Big Data). IEEE, 214--222","author":"Huang Y.","unstructured":"Y. Huang, Y. Yesha, M. Halem, Y. Yesha, and S. Zhou. 2016. YinMem: A distributed parallel indexed in-memory computation system for large scale data analytics. In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 214--222."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","unstructured":"Y. Huangfu J. Cao H. Lu and G. Liang. 2015. MatrixMap: Programming Abstraction and Implementation of Matrix Computation for Big Data Applications. In 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS). IEEE 19--28. 10.1109\/ICPADS.2015.11","DOI":"10.1109\/ICPADS.2015.11"},{"key":"e_1_3_2_1_26_1","volume-title":"Yelick","author":"Jacquelin Mathias","year":"2016","unstructured":"Mathias Jacquelin, Yili Zheng, Esmond Ng, and Katherine A. Yelick. 2016. An Asynchronous Task-based Fan-Both Sparse Cholesky Solver. CoRR abs\/1608.00044 (2016)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"S. G. Kratzer. 1992. Massively parallel sparse LU factorization. In {Proceedings 1992} The Fourth Symposium on the Frontiers of Massively Parallel Computation. 136--140.","DOI":"10.1109\/FMPC.1992.234896"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/355841.355847"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2452376.2452449"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.5555\/2685048.2685095"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/2968826.2968829"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2546544"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3154273.3154300"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/4021.4025"},{"key":"e_1_3_2_1_35_1","volume-title":"2016 IEEE 55th Conference on Decision and Control (CDC). IEEE, 4414--4419","author":"Oliva G.","unstructured":"G. Oliva, R. Setola, and C. N. Hadjicostis. 2016. Distributed asynchronous Cholesky decomposition. In 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE, 4414--4419."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v063.i10"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.5555\/3291125.3291132"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.3053456"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305890.3305969"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2168836.2168857"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.5555\/1046920.1194909"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.5555\/1162254"},{"key":"e_1_3_2_1_44_1","volume-title":"Gaussian Processes in Machine Learning","author":"Rasmussen Carl Edward","unstructured":"Carl Edward Rasmussen. 2004. Gaussian Processes in Machine Learning. Springer Berlin Heidelberg, Berlin, Heidelberg, 63--71."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.5555\/2980539.2980653"},{"key":"e_1_3_2_1_46_1","volume-title":"Density estimation for statistics and data analysis. Monographs on Statistics & Applied Probability","author":"Silverman B. W.","unstructured":"B. W. Silverman. 1986. Density estimation for statistics and data analysis. Monographs on Statistics & Applied Probability, Vol. 26. Chapman and Hall, London."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8191(92)90080-Q"},{"key":"e_1_3_2_1_48_1","volume-title":"Variational Learning of Inducing Variables in Sparse Gaussian Processes. In In Proc. of AISTATS (JMLR Proceedings)","volume":"5","author":"Titsias Michalis K.","year":"2009","unstructured":"Michalis K. Titsias. 2009. Variational Learning of Inducing Variables in Sparse Gaussian Processes. In In Proc. of AISTATS (JMLR Proceedings), Vol. 5. JMLR.org, 567--574."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/79173.79181"},{"key":"e_1_3_2_1_50_1","volume-title":"Thoughts on Massively Scalable Gaussian Processes. CoRR abs\/1511.01870","author":"Wilson Andrew Gordon","year":"2015","unstructured":"Andrew Gordon Wilson, Christoph Dann, and Hannes Nickisch. 2015. Thoughts on Massively Scalable Gaussian Processes. CoRR abs\/1511.01870 (2015). arXiv:1511.01870"},{"key":"e_1_3_2_1_51_1","volume-title":"Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP). CoRR abs\/1503.01057","author":"Wilson Andrew Gordon","year":"2015","unstructured":"Andrew Gordon Wilson and Hannes Nickisch. 2015. Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP). CoRR abs\/1503.01057 (2015). arXiv:1503.01057"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","unstructured":"Jingen Xiang Huangdong Meng and Ashraf Aboulnaga. 2014. Scalable matrix inversion using MapReduce. In HPDC. ACM 177--190. 10.1145\/2600212.2600220","DOI":"10.1145\/2600212.2600220"},{"key":"e_1_3_2_1_53_1","volume-title":"linalg: Matrix Computations in Apache Spark. CoRR abs\/1509.02256","author":"Zadeh Reza Bosagh","year":"2015","unstructured":"Reza Bosagh Zadeh, Xiangrui Meng, Burak Yavuz, Aaron Staple, Li Pu, Shivaram Venkataraman, Evan R. Sparks, Alexander Ulanov, and Matei Zaharia. 2015. linalg: Matrix Computations in Apache Spark. CoRR abs\/1509.02256 (2015). arXiv:1509.02256"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1016\/0045-7949(94)00534-A"}],"event":{"name":"SAC '19: The 34th ACM\/SIGAPP Symposium on Applied Computing","location":"Limassol Cyprus","acronym":"SAC '19","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"]},"container-title":["Proceedings of the 34th ACM\/SIGAPP Symposium on Applied Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3297280.3297409","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3297280.3297409","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:02:15Z","timestamp":1750208535000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3297280.3297409"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,8]]},"references-count":53,"alternative-id":["10.1145\/3297280.3297409","10.1145\/3297280"],"URL":"https:\/\/doi.org\/10.1145\/3297280.3297409","relation":{},"subject":[],"published":{"date-parts":[[2019,4,8]]},"assertion":[{"value":"2019-04-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}