Averaging Weights Leads to Wider Optima and Better Generalization

Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson. Averaging Weights Leads to Wider Optima and Better Generalization. In Amir Globerson, Ricardo Silva, editors, Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, Monterey, California, USA, August 6-10, 2018. pages 876-885, AUAI Press, 2018. [doi]

@inproceedings{IzmailovPGVW18,
  title = {Averaging Weights Leads to Wider Optima and Better Generalization},
  author = {Pavel Izmailov and Dmitrii Podoprikhin and Timur Garipov and Dmitry P. Vetrov and Andrew Gordon Wilson},
  year = {2018},
  url = {http://auai.org/uai2018/proceedings/supplements/Supplementary-Paper313.pdf},
  researchr = {https://researchr.org/publication/IzmailovPGVW18},
  cites = {0},
  citedby = {0},
  pages = {876-885},
  booktitle = {Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, Monterey, California, USA, August 6-10, 2018},
  editor = {Amir Globerson and Ricardo Silva},
  publisher = {AUAI Press},
}