Adversarial Counterfactual Learning and Evaluation for Recommender
System

Adversarial Counterfactual Learning and Evaluation for Recommender System

8 November 2020

Chuanwei Ruan

Evren Körpeoglu

Sushant Kumar

Kannan Achan

Papers citing "Adversarial Counterfactual Learning and Evaluation for Recommender System"

7 / 7 papers shown

Title
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? Da Xu Bo Yang 22 3 0 09 Apr 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 41 0 0 23 Mar 2023
Causal Structure Learning with Recommendation System Shuyuan Xu Da Xu Evren Körpeoglu Sushant Kumar Stephen D. Guo Kannan Achan Yongfeng Zhang CML 16 6 0 19 Oct 2022
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives Zida Cheng Chuanwei Ruan Siheng Chen Sushant Kumar Ya-Qin Zhang 22 16 0 23 Oct 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng-Long Jiang CML OOD 28 93 0 03 Jun 2021
Understanding the role of importance weighting for deep learning Da Xu Yuting Ye Chuanwei Ruan FAtt 31 43 0 28 Mar 2021
A General Framework for Counterfactual Learning-to-Rank Aman Agarwal Kenta Takatsu Ivan Zaitsev Thorsten Joachims CML 19 15 0 30 Apr 2018