Causality4Rec_Paperlist
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Published
20 hours ago •
zealscott
zealscott
This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.
Causality4Rec_Paperlist
This is a list of top papers about causal inference and bias problem in recommendation
Table of Contents
- Survey paper
- Robust Learning / OOD
- Causality in Computer Vision
- Causality in NLP
- Causality in Graph
-
Causality in Recommender System
- Loop Effect
- Exposure Bias
- Popularity Bias
- Selection Bias
- Misc
Survey Paper
Robust Learning / OOD
- Learning to Reweight Examples for Robust Deep Learning (ICML 18)
- Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect (NIPS 20)
- CASTLE: Regularization via Auxiliary Causal Graph Discovery (NIPS 20)
- Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks (ICLR 22)
Causality in Computer Vision
Causality in NLP
Causality in Graph
- Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method (SIGIR 21)
- Discovering Invariant Rationales for Graph Neural Networks (ICLR 22)
Causality in Recommender System
Loop Effect
- Causal Embeddings for Recommendation (RecSys18)
- A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data (SIGIR 20)
- ESAM: Discriminative domain adaptation with non-displayed items to improve long-tail performance (SIGIR 20)
- AutoDebias: Learning to Debias for Recommendation (SIGIR 21)
- Deconfounded Recommendation for Alleviating Bias Amplification (KDD 21)
- CausPref: Causal Preference Learning for Out-of-Distribution Recommendation (WWW 22)
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW 22)
Exposure Bias
- Causal Inference for Recommendation (UAI 16)
- Causal inference for recommender systems (RecSys 20)
Popularity Bias
- Disentangling User Interest and Conformity for Recommendation with Causal Embedding (WWW 21)
- Causal Intervention for Leveraging Popularity Bias in Recommendation (SIGIR 21)
- Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System (KDD 21)
- Popularity-Opportunity Bias in Collaborative Filtering (WSDM 21)
Selection Bias
- Asymmetric tri-training for unsupervised domain adaptation (ICML 17)
- Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback (SIGIR 20)
- Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation (SIGIR 21)
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