Dingseewhole / Robust_Deconfounder_masterLinks
☆8Updated 2 years ago
Alternatives and similar repositories for Robust_Deconfounder_master
Users that are interested in Robust_Deconfounder_master are comparing it to the libraries listed below
Sorting:
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆29Updated 4 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆72Updated 3 years ago
- Counterfactual Explainable Recommendation☆49Updated 3 years ago
- ☆10Updated 2 years ago
- ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_SystemsDetecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022☆25Updated 3 years ago
- Models for explainable recommendation.☆12Updated last year
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆22Updated 2 years ago
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆12Updated 3 years ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆18Updated last year
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆31Updated 2 years ago
- ☆60Updated last year
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated 2 years ago
- URLs to each movie from the MovieLens-1M data set☆9Updated 5 years ago
- ☆17Updated 4 years ago
- ☆42Updated last year
- Contrastive Learning with Model Augmentation☆18Updated 3 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆26Updated 2 years ago
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Updated 3 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆40Updated 2 years ago
- User-oriented Fairness in Recommendation☆28Updated 3 years ago
- A link to repositories with datasets useful for recommendation tasks☆21Updated last year
- ☆10Updated 4 years ago
- Code for "LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts"☆10Updated 9 months ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 3 years ago
- This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"☆22Updated 3 years ago
- Codebase for SIGIR 2022 paper: Coarse-to-Fine Sparse Sequential Recommendation☆23Updated 2 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 4 years ago
- This is the source code of PFRec☆14Updated 2 years ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆21Updated last month