Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback

6 September 2020

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

10 / 10 papers shown

Title
Invariant debiasing learning for recommendation via biased imputation Ting Bai Weijie Chen Cheng Yang C. Shi 200 1 0 28 Dec 2024
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation Chengbing Wang Wentao Shi Jizhi Zhang Wei Wang Hang Pan Fuli Feng 54 0 0 07 Sep 2024
Debiased Recommendation with Noisy Feedback Haoxuan Li Chunyuan Zheng Wenjie Wang Hao Wang Fuli Feng Xiao-Hua Zhou 43 7 0 24 Jun 2024
Exploring and Exploiting Data Heterogeneity in Recommendation Zimu Wang Jiashuo Liu Hao Zou Xingxuan Zhang Yue He Dongxu Liang Peng Cui 39 2 0 21 May 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 44 0 0 23 Mar 2023
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies Ruichu Cai Fengzhu Wu Zijian Li Jie Qiao Wei Chen Yuexing Hao Hao Gu CML OffRL 26 5 0 13 Jan 2022
Causal Incremental Graph Convolution for Recommender System Retraining Sihao Ding Fuli Feng Xiangnan He Yong Liao Jun Shi Yongdong Zhang CML CLL BDL GNN 32 36 0 16 Aug 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 28 93 0 03 Jun 2021
Predicting Counterfactuals from Large Historical Data and Small Randomized Trials Nir Rosenfeld Yishay Mansour E. Yom-Tov CML 61 25 0 24 Oct 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016