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Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit
  Feedback
v1v2v3v4v5v6 (latest)

Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback

8 September 2019
SrinivasaRao SubramanyaRao
ArXiv (abs)PDFHTML

Papers citing "Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback"

14 / 14 papers shown
Title
Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems
Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems
Shuqiang Zhang
Yuchao Zhang
Jinkun Chen
Haochen Sui
CML
15
0
0
09 Jun 2025
Variational Bayesian Personalized Ranking
Bin Liu
Xiaohong Liu
Q. Luo
Ziqiao Shang
Jielei Chu
Lin Ma
Zhaoyu Li
Fei Teng
Guangtao Zhai
Tianrui Li
121
0
0
14 Mar 2025
Invariant debiasing learning for recommendation via biased imputation
Invariant debiasing learning for recommendation via biased imputation
Ting Bai
Weijie Chen
Cheng Yang
C. Shi
518
2
0
28 Dec 2024
Debiased Recommendation with Noisy Feedback
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
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
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
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
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
Wonbin Kweon
Hwanjo Yu
77
17
0
26 Feb 2024
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Wenbo Hu
Xin Sun
Qiang liu
Wenbo Hu
Shu Wu
126
1
0
23 Mar 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and
  Mitigation
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation
Michael Färber
Melissa Coutinho
Shuzhou Yuan
83
8
0
18 Jan 2023
Deconfounded Causal Collaborative Filtering
Deconfounded Causal Collaborative Filtering
Shuyuan Xu
Juntao Tan
Shelby Heinecke
Jia Li
Yongfeng Zhang
CML
127
40
0
14 Oct 2021
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate
  Estimation
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
58
93
0
28 May 2021
Be Causal: De-biasing Social Network Confounding in Recommendation
Be Causal: De-biasing Social Network Confounding in Recommendation
Qian Li
Xiang-jian Wang
Guandong Xu
CML
86
56
0
17 May 2021
AutoDebias: Learning to Debias for Recommendation
AutoDebias: Learning to Debias for Recommendation
Jiawei Chen
Hande Dong
Yang Qiu
Xiangnan He
Xin Xin
Liang Chen
Guli Lin
Keping Yang
CML
136
207
0
10 May 2021
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