haoxuanli-pku / WWW23-Balancing-Unobserved-Confounding
☆9Updated 10 months ago
Alternatives and similar repositories for WWW23-Balancing-Unobserved-Confounding
Users that are interested in WWW23-Balancing-Unobserved-Confounding are comparing it to the libraries listed below
Sorting:
- ☆23Updated 3 years ago
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆18Updated 3 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆25Updated 11 months ago
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆16Updated last year
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated last year
- This is an implementation for our paper "Addressing Confounding Feature Issue for Causal Recommendation" based on PyTorch.☆15Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆76Updated 3 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆83Updated 2 years ago
- ☆8Updated last year
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- ☆28Updated last month
- This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.☆16Updated 3 years ago
- ☆33Updated 2 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆30Updated 2 years ago
- Improving Recommendation Fairness via Data Augmentation-WWW23☆13Updated last year
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆104Updated last year
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated last year
- ☆58Updated 3 years ago
- ☆46Updated 3 years ago
- ☆16Updated 6 months ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆38Updated 3 years ago
- Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.☆12Updated 2 years ago
- An index of causal inference based recommendation algorithms (TOIS).☆58Updated last year
- [WSDM 2023]Towards Universal Cross-Domain Recommendation☆20Updated 2 years ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆29Updated 4 years ago
- ☆19Updated 3 years ago
- ☆28Updated 2 years ago
- An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos☆89Updated 4 months ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 3 years ago
- Counterfactual Explainable Recommendation☆47Updated 3 years ago