AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method

Xiaoxia Wu, Yuege Xie, Simon Shaolei Du, Rachel Ward. AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022. pages 8691-8699, AAAI Press, 2022. [doi]

@inproceedings{WuXDW22,
  title = {AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method},
  author = {Xiaoxia Wu and Yuege Xie and Simon Shaolei Du and Rachel Ward},
  year = {2022},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/20848},
  researchr = {https://researchr.org/publication/WuXDW22},
  cites = {0},
  citedby = {0},
  pages = {8691-8699},
  booktitle = {Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022},
  publisher = {AAAI Press},
  isbn = {978-1-57735-876-3},
}