Causal Structure Learning with Recommendation System

19 October 2022

Sushant Kumar

Kannan Achan

Papers citing "Causal Structure Learning with Recommendation System"

26 / 26 papers shown

Title
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 101 300 0 03 Mar 2021
Causal Collaborative Filtering Shuyuan Xu Yingqiang Ge Yunqi Li Zuohui Fu Xu Chen Yongfeng Zhang CML 49 48 0 03 Feb 2021
Adversarial Counterfactual Learning and Evaluation for Recommender System Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan OffRL CML 39 33 0 08 Nov 2020
Differentiable Causal Discovery from Interventional Data P. Brouillard Sébastien Lachapelle Alexandre Lacoste Simon Lacoste-Julien Alexandre Drouin CML 59 187 0 03 Jul 2020
Learning Neural Causal Models from Unknown Interventions Nan Rosemary Ke O. Bilaniuk Anirudh Goyal Stefan Bauer Hugo Larochelle Bernhard Schölkopf Michael C. Mozer C. Pal Yoshua Bengio CML OOD 94 168 0 02 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric Xing CML 150 260 0 29 Sep 2019
Recurrent Independent Mechanisms Anirudh Goyal Alex Lamb Jordan Hoffmann Shagun Sodhani Sergey Levine Yoshua Bengio Bernhard Schölkopf 79 337 0 24 Sep 2019
Causal Modeling for Fairness in Dynamical Systems Elliot Creager David Madras T. Pitassi R. Zemel 55 67 0 18 Sep 2019
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback Yuta Saito Suguru Yaginuma Yuta Nishino Hayato Sakata Kazuhide Nakata CML 50 265 0 09 Sep 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 177 2,218 0 05 Jul 2019
Gradient-Based Neural DAG Learning Sébastien Lachapelle P. Brouillard T. Deleu Simon Lacoste-Julien BDL CML 50 273 0 05 Jun 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 69 485 0 22 Apr 2019
Knowledge-aware Complementary Product Representation Learning Da Xu Chuanwei Ruan Jason H. D. Cho Evren Körpeoglu Sushant Kumar Kannan Achan DML 50 26 0 16 Mar 2019
Learning from positive and unlabeled data: a survey Jessa Bekker Jesse Davis 72 560 0 12 Nov 2018
Self-Attentive Sequential Recommendation Wang-Cheng Kang Julian McAuley HAI BDL 145 2,417 0 20 Aug 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric Xing NoLa CML OffRL 87 937 0 04 Mar 2018
Learning Independent Causal Mechanisms Giambattista Parascandolo Niki Kilbertus Mateo Rojas-Carulla Bernhard Schölkopf CML OOD DRL 52 182 0 04 Dec 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 295 5,360 0 03 Nov 2016
Item2Vec: Neural Item Embedding for Collaborative Filtering Oren Barkan Noam Koenigstein DML 153 505 0 14 Mar 2016
Recommendations as Treatments: Debiasing Learning and Evaluation Tobias Schnabel Adith Swaminathan Ashudeep Singh Navin Chandak Thorsten Joachims CML 156 683 0 17 Feb 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering Ruining He Julian McAuley 146 2,059 0 04 Feb 2016
Session-based Recommendations with Recurrent Neural Networks Balázs Hidasi Alexandros Karatzoglou L. Baltrunas D. Tikk 64 2,077 0 21 Nov 2015
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 367 33,520 0 16 Oct 2013
Causal Discovery from Changes Jin Tian Judea Pearl CML 110 164 0 10 Jan 2013
Counterfactual Reasoning and Learning Systems Léon Bottou J. Peters J. Q. Candela Denis Xavier Charles D. M. Chickering Elon Portugaly Dipankar Ray Patrice Y. Simard Edward Snelson CML OffRL 352 783 0 11 Sep 2012
BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme BDL 132 5,722 0 09 May 2012