CVIB-Rec

Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback.

Please refer to the jupyter notebooks.

• experiment_coat.ipynb: comparison on baselines with MF backbone on COAT;
• experiment_yahoo.ipynb: comparison on baselines with MF backbone on YAHOO;
• experiment_coat_ncf.ipynb: comparison on baselines with NCF backbone on COAT;
• experiment_yahoo_ncf.ipynb: comparison on baselines with NCF backbone on YAHOO;

Our paper could be found from [arxiv].

If you find this code useful for your work, please consider to cite our work as

@inproceedings{wang2020information,
  title={Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback},
  author={Wang, Zifeng and Chen, Xi and Wen, Rui and Huang, Shao-Lun and Kuruoglu, Ercan E and Zheng, Yefeng},
  booktitle={Neural Information Processing Systems (NeurIPS)},
  year={2020}
}