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Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation

28 May 2021

Hechang Chen

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Papers citing "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation"

26 / 26 papers shown

Title
Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems Shuqiang Zhang Yuchao Zhang Jinkun Chen Haochen Sui CML 15 0 0 09 Jun 2025
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation Hao Wang Zhichao Chen Yuan Shen Jiajun Fan Zhaoran Liu Degui Yang Xinggao Liu Haoxuan Li 81 0 0 01 Jul 2024
Debiased Recommendation with Noisy Feedback Haoxuan Li Chunyuan Zheng Wenjie Wang Hao Wang Fuli Feng Xiao-Hua Zhou 113 7 0 24 Jun 2024
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random Mingming Ha Xuewen Tao Wenfang Lin Qionxu Ma Wujiang Xu Lin Chen 74 2 0 24 May 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference Haoxuan Li Chunyuan Zheng Sihao Ding Peng Wu Zhi Geng Fuli Feng Xiangnan He CML 79 10 0 30 Apr 2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing Haoxuan Li Chunyuan Zheng Yanghao Xiao Peng Wu Zhi Geng Xu Chen Peng Cui CML 99 21 0 30 Apr 2024
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random Wonbin Kweon Hwanjo Yu 77 17 0 26 Feb 2024
Robust Graph Clustering via Meta Weighting for Noisy Graphs Hyeonsoo Jo Fanchen Bu Kijung Shin OOD NoLa 60 7 0 01 Nov 2023
Optimal Transport for Treatment Effect Estimation Hao Wang Zhichao Chen Jiajun Fan Haoxuan Li Tianqiao Liu Weiming Liu Quanyu Dai Yichao Wang Zhenhua Dong Ruiming Tang OT CML 82 38 0 27 Oct 2023
CDR: Conservative Doubly Robust Learning for Debiased Recommendation Zijie Song Jiawei Chen Sheng Zhou Qihao Shi Yan Feng Chun-Yen Chen C. Wang 84 20 0 13 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 94 12 0 09 Aug 2023
Contrastive Learning for Conversion Rate Prediction W. Ouyang Rui Dong Xiuwu Zhang Chao Guo Jinmei Luo Xiangzheng Liu Yanlong Du 20 0 0 12 Jul 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
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning Penghui Wei Hongjian Dou Shaoguo Liu Rong Tang Li Liu Liangji Wang Bo Zheng FedML 71 13 0 15 May 2023
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations Haoxuan Li Yanghao Xiao Chunyuan Zheng Peng Wu CML 97 51 0 17 Apr 2023
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation Qiang Liu Zhaocheng Liu Zhen Zhu Shu Wu Liang Wang OOD OODD 121 3 0 12 Apr 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
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations Xuewen Tao Mingming Ha Xiaobo Guo Qiongxu Ma Ho Kei Cheng Wenfang Lin 77 0 0 06 Jan 2023
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction Quanyu Dai Haoxuan Li Peng Wu Zhenhua Dong Xiao-Hua Zhou Rui Zhang Rui zhang Jie Sun 80 55 0 12 Nov 2022
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications Hao Wang Zhichao Chen Jiajun Fan Yuxin Huang Weiming Liu Xinggao Liu CML 69 3 0 20 Oct 2022
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders Teng Xiao Zhengyu Chen Suhang Wang OOD CML OffRL 78 0 0 07 Jun 2022
RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring Qiang Liu Yingtao Luo Shu Wu Zhen Zhang Xiangnan Yue Hong Jin Liang Wang 79 9 0 01 Jun 2022
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random Haoxuan Li Chunyuan Zheng Peng Wu 93 50 0 10 May 2022
ESCM $^2$ : Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation Hao Wang Tai-Wei Chang Tianqiao Liu Jia-Bin Huang Zhichao Chen Chao-hui Yu Ruopeng Li Wei Chu 94 94 0 03 Apr 2022
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations Haoxuan Li Yan Lyu Chunyuan Zheng Peng Wu 100 45 0 19 Mar 2022
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning Wenhao Zhang Wentian Bao Xiao-Yang Liu Keping Yang Quan Lin Hong Wen Ramin Ramezani CML 124 108 0 16 Oct 2019