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Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased
  Recommendations

Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations

17 April 2023
Haoxuan Li
Yanghao Xiao
Chunyuan Zheng
Peng Wu
    CML
ArXivPDFHTML

Papers citing "Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations"

14 / 14 papers shown
Title
Proximity Matters: Local Proximity Preserved Balancing for Treatment
  Effect Estimation
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
45
0
0
01 Jul 2024
Debiased Recommendation with Noisy Feedback
Debiased Recommendation with Noisy Feedback
Haoxuan Li
Chunyuan Zheng
Wenjie Wang
Hao Wang
Fuli Feng
Xiao-Hua Zhou
43
7
0
24 Jun 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious
  Correlation
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
Min Zhang
Haoxuan Li
Fei Wu
Kun Kuang
OODD
24
12
0
30 Apr 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
45
9
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
46
17
0
30 Apr 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
Siyi Lin
Chongming Gao
Jiawei Chen
Sheng Zhou
Binbin Hu
Yan Feng
Chun-Yen Chen
Can Wang
26
7
0
18 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
39
13
0
26 Feb 2024
Causal Learning for Trustworthy Recommender Systems: A Survey
Causal Learning for Trustworthy Recommender Systems: A Survey
Jin Li
Shoujin Wang
Qi Zhang
LongBing Cao
Fang Chen
Xiuzhen Zhang
Dietmar Jannach
Charu C. Aggarwal
CML
39
1
0
13 Feb 2024
Optimal Transport for Treatment Effect Estimation
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
30
35
0
27 Oct 2023
Pareto Invariant Representation Learning for Multimedia Recommendation
Pareto Invariant Representation Learning for Multimedia Recommendation
Shanshan Huang
Haoxuan Li
Qingsong Li
Chunyuan Zheng
Li Liu
CML
22
11
0
09 Aug 2023
ConvFormer: Revisiting Transformer for Sequential User Modeling
ConvFormer: Revisiting Transformer for Sequential User Modeling
Hao Wang
Jianxun Lian
Mingyang Wu
Haoxuan Li
Jiajun Fan
Wanyue Xu
Chaozhuo Li
Xing Xie
19
3
0
05 Aug 2023
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data
  Missing Not at Random
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
Haoxuan Li
Chunyuan Zheng
Peng Wu
14
44
0
10 May 2022
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased
  Recommendations
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
Haoxuan Li
Yan Lyu
Chunyuan Zheng
Peng Wu
19
41
0
19 Mar 2022
Deep Causal Reasoning for Recommendations
Deep Causal Reasoning for Recommendations
Yaochen Zhu
Jing Yi
Jiayi Xie
Zhenzhong Chen
CML
BDL
27
10
0
06 Jan 2022
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