A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization

Andrew Campbell, Wenlong Chen, Vincent Stimper, José Miguel Hernández-Lobato, Yichuan Zhang. A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 1238-1248, PMLR, 2021. [doi]

@inproceedings{CampbellCSHZ21,
  title = {A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization},
  author = {Andrew Campbell and Wenlong Chen and Vincent Stimper and José Miguel Hernández-Lobato and Yichuan Zhang},
  year = {2021},
  url = {http://proceedings.mlr.press/v139/campbell21a.html},
  researchr = {https://researchr.org/publication/CampbellCSHZ21},
  cites = {0},
  citedby = {0},
  pages = {1238-1248},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event},
  editor = {Marina Meila and Tong Zhang 0001},
  volume = {139},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}