This code is the official implementation of our paper "Sample Elicitation" accepted by AISTATS2021.
📋 (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.
If you use our code, please cite the following paper:
@inproceedings{wei2021sample,
title={Sample Elicitation},
author={Wei, Jiaheng and Fu, Zuyue and Liu, Yang and Li, Xingyu and Yang, Zhuoran and Wang, Zhaoran},
booktitle={International Conference on Artificial Intelligence and Statistics},
pages={2692--2700},
year={2021},
organization={PMLR}
}
If you have any concerns on the impletation, feel free to send me an e-mail (jiahengwei@ucsc.edu) or report an issue.
The codes of fid.py, fid_peer.py are based on https://github.com/mseitzer/pytorch-fid/blob/master/pytorch_fid