ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.04701
  4. Cited By
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data
  Missing Not at Random
v1v2v3 (latest)

StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random

International Conference on Learning Representations (ICLR), 2022
10 May 2022
Haoxuan Li
Chunyuan Zheng
Peng Wu
ArXiv (abs)PDFHTML

Papers citing "StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random"

12 / 12 papers shown
Title
DUET: Dual Model Co-Training for Entire Space CTR Prediction
DUET: Dual Model Co-Training for Entire Space CTR Prediction
Yutian Xiao
Meng Yuan
Fuzhen Zhuang
Wei Chen
Shukuan Wang
...
Wenhui Yu
Xiang Li
Lantao Hu
Han Li
Zhao Zhang
80
0
0
28 Oct 2025
Counterfactual Reciprocal Recommender Systems for User-to-User Matching
Counterfactual Reciprocal Recommender Systems for User-to-User Matching
Kazuki Kawamura
Takuma Udagawa
Kei Tateno
79
0
0
03 Aug 2025
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
139
1
0
09 Jun 2025
Doubly Robust Alignment for Large Language Models
Doubly Robust Alignment for Large Language Models
Erhan Xu
Kai Ye
Hongyi Zhou
Luhan Zhu
Francesco Quinzan
Chengchun Shi
276
3
0
01 Jun 2025
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
Chengbing Wang
Wentao Shi
Jizhi Zhang
Wenjie Wang
Hang Pan
Fuli Feng
392
1
0
07 Sep 2024
Debiased Recommendation with Noisy Feedback
Debiased Recommendation with Noisy Feedback
Haoxuan Li
Chunyuan Zheng
Wenjie Wang
Hao Wang
Fuli Feng
Xiao-Hua Zhou
247
16
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
Leilei Gan
Kun Kuang
OODD
232
18
0
30 Apr 2024
CDR: Conservative Doubly Robust Learning for Debiased Recommendation
CDR: Conservative Doubly Robust Learning for Debiased RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2023
Zijie Song
Jiawei Chen
Sheng Zhou
Qihao Shi
Yan Feng
Chun-Yen Chen
C. Wang
310
27
0
13 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation
Pareto Invariant Representation Learning for Multimedia RecommendationACM Multimedia (ACM MM), 2023
Shanshan Huang
Haoxuan Li
Qingsong Li
Chunyuan Zheng
Li Liu
CML
250
17
0
09 Aug 2023
Exploring and Exploiting Data Heterogeneity in Recommendation
Exploring and Exploiting Data Heterogeneity in RecommendationACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Zimu Wang
Tianyu Wang
Hao Zou
Xingxuan Zhang
Yue He
Dongxu Liang
Peng Cui
159
3
0
21 May 2023
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased
  Recommendations
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased RecommendationsInternational Conference on Learning Representations (ICLR), 2022
Haoxuan Li
Yan Lyu
Chunyuan Zheng
Peng Wu
209
49
0
19 Mar 2022
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate
  Estimation with Multi-task Learning
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task LearningThe Web Conference (WWW), 2019
Wenhao Zhang
Wentian Bao
Xiao-Yang Liu
Keping Yang
Quan Lin
Hong Wen
Ramin Ramezani
CML
237
118
0
16 Oct 2019
1