Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information

Nima Eshraghi, Ben Liang. Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information. In Roya Firoozi, Negar Mehr, Esen Yel, Rika Antonova, Jeannette Bohg, Mac Schwager, Mykel J. Kochenderfer, editors, Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA. Volume 168 of Proceedings of Machine Learning Research, pages 637-649, PMLR, 2022. [doi]

@inproceedings{EshraghiL22-0,
  title = {Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information},
  author = {Nima Eshraghi and Ben Liang},
  year = {2022},
  url = {https://proceedings.mlr.press/v168/eshraghi22a.html},
  researchr = {https://researchr.org/publication/EshraghiL22-0},
  cites = {0},
  citedby = {0},
  pages = {637-649},
  booktitle = {Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA},
  editor = {Roya Firoozi and Negar Mehr and Esen Yel and Rika Antonova and Jeannette Bohg and Mac Schwager and Mykel J. Kochenderfer},
  volume = {168},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}