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Multi-Objective Optimization with Sampling Methods

This repo contains the code for NeurIPS 2021 spotlight paper (paper link): Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent by Xingchao Liu, Xin Tong, and Qiang Liu from UT Austin and the National University of Singapore.

Requirements

PyTorch, Numpy and pymoo==0.4.3.dev0. Should be easy to install with pip.

Usage

ZDT Problems

python run_zdt_moosvgd.py to get results of MOO-SVGD on ZDT problems.

Citation

If you use our code, please consider citing us with:

@article{liu2021profiling,
  title={Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent},
  author={Liu, Xingchao and Tong, Xin and Liu, Qiang},
  journal={Advances in Neural Information Processing Systems},
  year={2021}
}

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