{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:41:51Z","timestamp":1787017311515,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T00:00:00Z","timestamp":1564012800000},"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":[[2019,7,25]]},"DOI":"10.1145\/3292500.3330749","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T09:17:26Z","timestamp":1564132646000},"page":"2801-2809","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Recurrent Neural Networks for Stochastic Control in Real-Time Bidding"],"prefix":"10.1145","author":[{"given":"Nicolas","family":"Grislain","sequence":"first","affiliation":[{"name":"Verizon Media, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas","family":"Perrin","sequence":"additional","affiliation":[{"name":"Verizon Media, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antoine","family":"Thabault","sequence":"additional","affiliation":[{"name":"Verizon Media, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Mart'in Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Man\u00e9 Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Vi\u00e9gas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. https:\/\/www.tensorflow.org\/ Software available from tensorflow.org.  Mart'in Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Man\u00e9 Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Vi\u00e9gas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. https:\/\/www.tensorflow.org\/ Software available from tensorflow.org."},{"key":"e_1_3_2_1_2_1","volume-title":"Feedback Systems: An Introduction for Scientists and Engineers 1 ed.)","author":"Richard Murray KJ","year":"2008","unstructured":"KJ \u00c5str\u00f6 m and Richard Murray . 2008 . Feedback Systems: An Introduction for Scientists and Engineers 1 ed.) . Princeton University Press . KJ \u00c5str\u00f6 m and Richard Murray. 2008. Feedback Systems: An Introduction for Scientists and Engineers 1 ed.). Princeton University Press."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2014.2017"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018702"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020604"},{"key":"e_1_3_2_1_6_1","volume-title":"Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio.","author":"Cho Kyunghyun","year":"2014","unstructured":"Kyunghyun Cho , Bart Van Merri\u00ebnboer , Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 . Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014). Kyunghyun Cho, Bart Van Merri\u00ebnboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014)."},{"key":"e_1_3_2_1_7_1","volume-title":"AIChE Symposium Series","volume":"98","author":"Desborough Lane","year":"2002","unstructured":"Lane Desborough and Randy Miller . 2002 . Increasing Customer Value of Industrial Control Performance Monitoring -Honeywell's Experience . AIChE Symposium Series , Vol. 98 (01 2002). Lane Desborough and Randy Miller. 2002. Increasing Customer Value of Industrial Control Performance Monitoring -Honeywell's Experience. AIChE Symposium Series , Vol. 98 (01 2002)."},{"key":"e_1_3_2_1_8_1","volume-title":"More than 80% of Digital Display Ads Will Be Bought Programmatically","year":"2018","unstructured":"eMarketer. 2018. More than 80% of Digital Display Ads Will Be Bought Programmatically in 2018 . eMarketer. 2018. More than 80% of Digital Display Ads Will Be Bought Programmatically in 2018."},{"key":"e_1_3_2_1_9_1","first-page":"142","article-title":"Optimal real-time bidding strategies","volume":"2017","author":"Fernandez-Tapia Joaquin","year":"2016","unstructured":"Joaquin Fernandez-Tapia , Olivier Gu\u00e9ant , and Jean-Michel Lasry . 2016 . Optimal real-time bidding strategies . Applied Mathematics Research eXpress , Vol. 2017 , 1 (2016), 142 -- 183 . Joaquin Fernandez-Tapia, Olivier Gu\u00e9ant, and Jean-Michel Lasry. 2016. Optimal real-time bidding strategies. Applied Mathematics Research eXpress , Vol. 2017, 1 (2016), 142--183.","journal-title":"Applied Mathematics Research eXpress"},{"key":"e_1_3_2_1_10_1","volume-title":"Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management science","author":"Gallego Guillermo","year":"1994","unstructured":"Guillermo Gallego and Garrett Van Ryzin . 1994. Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management science , Vol. 40 , 8 ( 1994 ), 999--1020. Guillermo Gallego and Garrett Van Ryzin. 1994. Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management science , Vol. 40, 8 (1994), 999--1020."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526744"},{"key":"e_1_3_2_1_12_1","volume-title":"Deep Learning","author":"Goodfellow Ian","unstructured":"Ian Goodfellow , Yoshua Bengio , and Aaron Courville . 2016. Deep Learning . MIT press . Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2016. Deep Learning .MIT press."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219877"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2014.6859107"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejcon.2016.04.007"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2017.8263968"},{"key":"e_1_3_2_1_18_1","volume-title":"Understanding the exploding gradient problem. CoRR, abs\/1211.5063","author":"Pascanu Razvan","year":"2012","unstructured":"Razvan Pascanu , Tomas Mikolov , and Yoshua Bengio . 2012. Understanding the exploding gradient problem. CoRR, abs\/1211.5063 , Vol. 2 ( 2012 ). Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. 2012. Understanding the exploding gradient problem. CoRR, abs\/1211.5063 , Vol. 2 (2012)."},{"key":"e_1_3_2_1_19_1","volume-title":"Twenty lectures on algorithmic game theory","author":"Roughgarden Tim","unstructured":"Tim Roughgarden . 2016. Twenty lectures on algorithmic game theory . Cambridge University Press . Tim Roughgarden. 2016. Twenty lectures on algorithmic game theory .Cambridge University Press."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271748"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2501040.2501980"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623633"}],"event":{"name":"KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Anchorage AK USA","acronym":"KDD '19","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 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330749","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330749","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:57:50Z","timestamp":1750193870000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330749"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":22,"alternative-id":["10.1145\/3292500.3330749","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3330749","relation":{},"subject":[],"published":{"date-parts":[[2019,7,25]]},"assertion":[{"value":"2019-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}