Information Theoretic Counterfactual Learning from Missing-Not-At-Random
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6 September 2020

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Papers citing "Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback"

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Title
Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems Shuqiang Zhang Yuchao Zhang Jinkun Chen Haochen Sui CML 13 0 0 09 Jun 2025
Invariant debiasing learning for recommendation via biased imputation Ting Bai Weijie Chen Cheng Yang C. Shi 518 2 0 28 Dec 2024
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation Chengbing Wang Wentao Shi Jizhi Zhang Wenjie Wang Hang Pan Fuli Feng 184 1 0 07 Sep 2024
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 94 12 0 09 Aug 2023
Exploring and Exploiting Data Heterogeneity in Recommendation Zimu Wang Jiashuo Liu Hao Zou Xingxuan Zhang Yue He Dongxu Liang Peng Cui 84 2 0 21 May 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 126 1 0 23 Mar 2023
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision Zifeng Wang Jimeng Sun 91 25 0 29 Jun 2022
SurvTRACE: Transformers for Survival Analysis with Competing Events Zifeng Wang Jimeng Sun 90 71 0 02 Oct 2021
Causal Incremental Graph Convolution for Recommender System Retraining Sihao Ding Fuli Feng Xiangnan He Yong Liao Jun Shi Yongdong Zhang CML CLL BDL GNN 66 38 0 16 Aug 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 87 100 0 03 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 51 93 0 28 May 2021