Credible sample elicitation

This code is the official implementation of our paper "Credible Sample Elicitation" accepted by AISTATS2021.

Utilities

📋 (1) Syntheric Experiment: this folder is the Matlab implementation of our porposed mechanism w.r.t. synthetic data (as an example, we adopt the synthetic data drawn from 2-D Gaussian distributions).

📋 (2) MNIST Experiment: this folder is the Python implementation of our porposed mechanism given image data (as an example, we adopt MNIST test dataset).

Note: details of reproducing our experiment results are mentioned in the ``README" file in each folder.

Citation

If you use our code, please cite the following paper:

@article{liu2019credible,
  title={Credible Sample Elicitation},
  author={Liu, Yang and Fu, Zuyue and Yang, Zhuoran and Wang, Zhaoran},
  journal={arXiv preprint arXiv:1910.03155},
  year={2019}
}

Contact

If you have any concerns on the impletation, feel free to send me an e-mail (jiahengwei@ucsc.edu) or report an issue.

References

The codes of fid.py, fid_peer.py are based on https://github.com/mseitzer/pytorch-fid/blob/master/pytorch_fid

Thanks for watching!