Reconsidering Learning Objectives in Unbiased Recommendation with
Unobserved Confounders

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Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders

7 June 2022

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Papers citing "Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders"

14 / 14 papers shown

Title
A General Offline Reinforcement Learning Framework for Interactive Recommendation Teng Xiao Donglin Wang OffRL 76 74 0 01 Oct 2023
Cross Pairwise Ranking for Unbiased Item Recommendation Qi Wan Xiangnan He Xiang Wang Jiancan Wu Wei Guo Ruiming Tang CML 76 38 0 26 Apr 2022
Correcting Exposure Bias for Link Recommendation Shantanu Gupta Hao Wang Zachary Chase Lipton Bernie Wang CML 64 35 0 13 Jun 2021
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation Siyuan Guo Lixin Zou Yiding Liu Wenwen Ye Suqi Cheng Shuaiqiang Wang Hechang Chen Dawei Yin Yi-Ju Chang 41 93 0 28 May 2021
Adversarial Counterfactual Learning and Evaluation for Recommender System Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan OffRL CML 54 33 0 08 Nov 2020
Maximum Density Divergence for Domain Adaptation Jingjing Li Erpeng Chen Ding Zhengming Zhu Lei Ke Lu Jikang Cheng OOD 68 284 0 27 Apr 2020
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback Yuta Saito Suguru Yaginuma Yuta Nishino Hayato Sakata Kazuhide Nakata CML 57 268 0 09 Sep 2019
Support and Invertibility in Domain-Invariant Representations Fredrik D. Johansson David Sontag Rajesh Ranganath 63 164 0 08 Mar 2019
Adversarial Personalized Ranking for Recommendation Xiangnan He Zhankui He Xiaoyu Du Tat-Seng Chua 91 397 0 12 Aug 2018
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models Jun Wang Lantao Yu Weinan Zhang Yu Gong Yinghui Xu Benyou Wang Peng Zhang Dell Zhang 83 601 0 30 May 2017
Learning from Simulated and Unsupervised Images through Adversarial Training A. Shrivastava Tomas Pfister Oncel Tuzel J. Susskind Wenda Wang Russ Webb GAN 105 1,801 0 22 Dec 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 158 1,659 0 02 Jun 2016
Recommendations as Treatments: Debiasing Learning and Evaluation Tobias Schnabel Adith Swaminathan Ashudeep Singh Navin Chandak Thorsten Joachims CML 162 686 0 17 Feb 2016
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 235 6,041 0 26 Sep 2014

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