{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T10:10:04Z","timestamp":1767262204695,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T00:00:00Z","timestamp":1697846400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"CityU - HKIDS Early Career Research Grant","award":["No.9360163"],"award-info":[{"award-number":["No.9360163"]}]},{"name":"CCF-Tencent Open Fund"},{"name":"Hong Kong ITC Innovation and Technology Fund Midstream Research Programme for Universities Project","award":["No.ITS\/034\/22MS"],"award-info":[{"award-number":["No.ITS\/034\/22MS"]}]},{"name":"Tencent Rhino-Bird Focused Research Fund"},{"name":"Huawei Innovation Research Program"},{"name":"Ant Group Research Fund"},{"name":"SIRG - CityU Strategic Interdisciplinary Research Grant","award":["No.7020046, No.7020074"],"award-info":[{"award-number":["No.7020046, No.7020074"]}]},{"name":"APRC - CityU New Research Initiatives","award":["No.9610565"],"award-info":[{"award-number":["No.9610565"]}]},{"name":"CCF-Ant Research Fund"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,21]]},"DOI":"10.1145\/3583780.3615152","type":"proceedings-article","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T07:45:42Z","timestamp":1697874342000},"page":"4115-4119","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Counterfactual Adversarial Learning for Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-1597-642X","authenticated-orcid":false,"given":"Jialin","family":"Liu","sequence":"first","affiliation":[{"name":"Computer Network Information Center, Chinese Academy of Sciences, University of Chinese Academy Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1194-8334","authenticated-orcid":false,"given":"Zijian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Jilin University, City University of Hong Kong, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2926-4416","authenticated-orcid":false,"given":"Xiangyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6170-0364","authenticated-orcid":false,"given":"Jun","family":"Li","sequence":"additional","affiliation":[{"name":"Computer Network Information Center, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"A model-based reinforcement learning with adversarial training for online recommendation. Advances in Neural Information Processing Systems 32","author":"Bai Xueying","year":"2019","unstructured":"Xueying Bai , Jian Guan , and HongningWang. 2019. A model-based reinforcement learning with adversarial training for online recommendation. Advances in Neural Information Processing Systems 32 ( 2019 ). Xueying Bai, Jian Guan, and HongningWang. 2019. A model-based reinforcement learning with adversarial training for online recommendation. Advances in Neural Information Processing Systems 32 (2019)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Elias Bareinboim Juan D Correa Duligur Ibeling and Thomas Icard. 2022. On Pearl's hierarchy and the foundations of causal inference. In Probabilistic and causal inference: the works of judea pearl. 507--556.  Elias Bareinboim Juan D Correa Duligur Ibeling and Thomas Icard. 2022. On Pearl's hierarchy and the foundations of causal inference. In Probabilistic and causal inference: the works of judea pearl. 507--556.","DOI":"10.1145\/3501714.3501743"},{"key":"e_1_3_2_1_3_1","volume-title":"International Conference on Machine Learning. PMLR, 792--802","author":"Berrevoets Jeroen","year":"2021","unstructured":"Jeroen Berrevoets , Ahmed Alaa , Zhaozhi Qian , James Jordon , Alexander ES Gimson , and Mihaela Van Der Schaar . 2021 . Learning queueing policies for organ transplantation allocation using interpretable counterfactual survival analysis . In International Conference on Machine Learning. PMLR, 792--802 . Jeroen Berrevoets, Ahmed Alaa, Zhaozhi Qian, James Jordon, Alexander ES Gimson, and Mihaela Van Der Schaar. 2021. Learning queueing policies for organ transplantation allocation using interpretable counterfactual survival analysis. In International Conference on Machine Learning. PMLR, 792--802."},{"key":"e_1_3_2_1_4_1","unstructured":"Ioana Bica Ahmed M Alaa James Jordon and Mihaela van der Schaar. 2020. Estimating counterfactual treatment outcomes over time through adversarially balanced representations. (2020).  Ioana Bica Ahmed M Alaa James Jordon and Mihaela van der Schaar. 2020. Estimating counterfactual treatment outcomes over time through adversarially balanced representations. (2020)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326937.3341261"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242610"},{"key":"e_1_3_2_1_8_1","volume-title":"A connection between generative adversarial networks, inverse reinforcement learning, and energy-based models. arXiv preprint arXiv:1611.03852","author":"Finn Chelsea","year":"2016","unstructured":"Chelsea Finn , Paul Christiano , Pieter Abbeel , and Sergey Levine . 2016. A connection between generative adversarial networks, inverse reinforcement learning, and energy-based models. arXiv preprint arXiv:1611.03852 ( 2016 ). Chelsea Finn, Paul Christiano, Pieter Abbeel, and Sergey Levine. 2016. A connection between generative adversarial networks, inverse reinforcement learning, and energy-based models. arXiv preprint arXiv:1611.03852 (2016)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531796"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025171.3025197"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412248"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the 29th International Conference on Machine Learning. 1667--1674","author":"Hazan Tamir","year":"2012","unstructured":"Tamir Hazan and Tommi Jaakkola . 2012 . On the partition function and random maximum a-posteriori perturbations . In Proceedings of the 29th International Conference on Machine Learning. 1667--1674 . Tamir Hazan and Tommi Jaakkola. 2012. On the partition function and random maximum a-posteriori perturbations. In Proceedings of the 29th International Conference on Machine Learning. 1667--1674."},{"key":"e_1_3_2_1_14_1","volume-title":"Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939","author":"Hidasi Bal\u00e1zs","year":"2015","unstructured":"Bal\u00e1zs Hidasi , Alexandros Karatzoglou , Linas Baltrunas , and Domonkos Tikk . 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 ( 2015 ). Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 (2015)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240609"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/582415.582418"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_18_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba . 2015 . Adam : A Method for Stochastic Optimization . (2015). Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. (2015)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2019.08.016"},{"key":"e_1_3_2_1_20_1","volume-title":"Offline reinforcement learning: Tutorial, review, and perspectives on open problems. arXiv preprint arXiv:2005.01643","author":"Levine Sergey","year":"2020","unstructured":"Sergey Levine , Aviral Kumar , George Tucker , and Justin Fu. 2020. Offline reinforcement learning: Tutorial, review, and perspectives on open problems. arXiv preprint arXiv:2005.01643 ( 2020 ). Sergey Levine, Aviral Kumar, George Tucker, and Justin Fu. 2020. Offline reinforcement learning: Tutorial, review, and perspectives on open problems. arXiv preprint arXiv:2005.01643 (2020)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350950"},{"key":"e_1_3_2_1_22_1","volume-title":"Causal effect inference with deep latent-variable models. Advances in Neural Information Processing Systems 30","author":"Louizos Christos","year":"2017","unstructured":"Christos Louizos , Uri Shalit , Joris M Mooij , David Sontag , Richard Zemel , and Max Welling . 2017. Causal effect inference with deep latent-variable models. Advances in Neural Information Processing Systems 30 ( 2017 ). Christos Louizos, Uri Shalit, Joris M Mooij, David Sontag, Richard Zemel, and Max Welling. 2017. Causal effect inference with deep latent-variable models. Advances in Neural Information Processing Systems 30 (2017)."},{"key":"e_1_3_2_1_23_1","volume-title":"The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables. In International Conference on Learning Representations.","author":"Maddison C","year":"2017","unstructured":"C Maddison , A Mnih , and Y Teh . 2017 . The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables. In International Conference on Learning Representations. C Maddison, A Mnih, and Y Teh. 2017. The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_24_1","volume-title":"Advances in Neural Information Processing Systems 27","author":"Maddison Chris J","year":"2014","unstructured":"Chris J Maddison , Daniel Tarlow , and Tom Minka . 2014. A* sampling. Advances in Neural Information Processing Systems 27 ( 2014 ). Chris J Maddison, Daniel Tarlow, and Tom Minka. 2014. A* sampling. Advances in Neural Information Processing Systems 27 (2014)."},{"key":"e_1_3_2_1_25_1","volume-title":"International Conference on Machine Learning. PMLR, 4881--4890","author":"Oberst Michael","year":"2019","unstructured":"Michael Oberst and David Sontag . 2019 . Counterfactual off-policy evaluation with gumbel-max structural causal models . In International Conference on Machine Learning. PMLR, 4881--4890 . Michael Oberst and David Sontag. 2019. Counterfactual off-policy evaluation with gumbel-max structural causal models. In International Conference on Machine Learning. PMLR, 4881--4890."},{"key":"e_1_3_2_1_26_1","volume-title":"400","author":"Pearl Judea","year":"2000","unstructured":"Judea Pearl . 2000. Causality. Causality ( 2000 ), 400 . Judea Pearl. 2000. Causality. Causality (2000), 400."},{"key":"e_1_3_2_1_27_1","volume-title":"Cambridge, UK: Cambridge University Press 19, 2","author":"Judea Pearl","year":"2000","unstructured":"Judea Pearl et al. 2000 . Models , reasoning and inference. Cambridge, UK: Cambridge University Press 19, 2 (2000). Judea Pearl et al. 2000. Models, reasoning and inference. Cambridge, UK: Cambridge University Press 19, 2 (2000)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271786"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401134"},{"key":"e_1_3_2_1_31_1","first-page":"10823","article-title":"The causalneural connection: Expressiveness, learnability, and inference","volume":"34","author":"Xia Kevin","year":"2021","unstructured":"Kevin Xia , Kai-Zhan Lee , Yoshua Bengio , and Elias Bareinboim . 2021 . The causalneural connection: Expressiveness, learnability, and inference . Advances in Neural Information Processing Systems 34 (2021), 10823 -- 10836 . Kevin Xia, Kai-Zhan Lee, Yoshua Bengio, and Elias Bareinboim. 2021. The causalneural connection: Expressiveness, learnability, and inference. Advances in Neural Information Processing Systems 34 (2021), 10823--10836.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_32_1","volume-title":"Neural Causal Models for Counterfactual Identification and Estimation. In The International Conference on Learning Representations.","author":"Xia Kevin Muyuan","year":"2023","unstructured":"Kevin Muyuan Xia , Yushu Pan , and Elias Bareinboim . 2023 . Neural Causal Models for Counterfactual Identification and Estimation. In The International Conference on Learning Representations. Kevin Muyuan Xia, Yushu Pan, and Elias Bareinboim. 2023. Neural Causal Models for Counterfactual Identification and Estimation. In The International Conference on Learning Representations."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401147"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2645710.2645724"},{"key":"e_1_3_2_1_35_1","volume-title":"International Conference on Learning Representations.","author":"Yoon Jinsung","year":"2018","unstructured":"Jinsung Yoon , James Jordon , and Mihaela Van Der Schaar . 2018 . GANITE: Estimation of individualized treatment effects using generative adversarial nets . In International Conference on Learning Representations. Jinsung Yoon, James Jordon, and Mihaela Van Der Schaar. 2018. GANITE: Estimation of individualized treatment effects using generative adversarial nets. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290975"},{"key":"e_1_3_2_1_37_1","volume-title":"Auto iv: Counterfactual prediction via automatic instrumental variable decomposition. ACM Transactions on Knowledge Discovery from Data 16, 4","author":"Yuan Junkun","year":"2022","unstructured":"Junkun Yuan , Anpeng Wu , Kun Kuang , Bo Li , Runze Wu , Fei Wu , and Lanfen Lin . 2022. Auto iv: Counterfactual prediction via automatic instrumental variable decomposition. ACM Transactions on Knowledge Discovery from Data 16, 4 ( 2022 ), 1--20. Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, and Lanfen Lin. 2022. Auto iv: Counterfactual prediction via automatic instrumental variable decomposition. ACM Transactions on Knowledge Discovery from Data 16, 4 (2022), 1--20."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16156"}],"event":{"name":"CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Birmingham United Kingdom","acronym":"CIKM '23"},"container-title":["Proceedings of the 32nd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3615152","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583780.3615152","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:42Z","timestamp":1750178202000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3615152"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,21]]},"references-count":38,"alternative-id":["10.1145\/3583780.3615152","10.1145\/3583780"],"URL":"https:\/\/doi.org\/10.1145\/3583780.3615152","relation":{},"subject":[],"published":{"date-parts":[[2023,10,21]]},"assertion":[{"value":"2023-10-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}