On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models

Erik Nijkamp, Mitch Hill, Tian Han 0001, Song Chun Zhu, Ying Nian Wu. On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. pages 5272-5280, AAAI Press, 2020. [doi]

@inproceedings{NijkampH0ZW20,
  title = {On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models},
  author = {Erik Nijkamp and Mitch Hill and Tian Han 0001 and Song Chun Zhu and Ying Nian Wu},
  year = {2020},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/5973},
  researchr = {https://researchr.org/publication/NijkampH0ZW20},
  cites = {0},
  citedby = {0},
  pages = {5272-5280},
  booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020},
  publisher = {AAAI Press},
  isbn = {978-1-57735-823-7},
}