A Simple yet Universal Strategy for Online Convex Optimization

Lijun Zhang, Guanghui Wang 0006, Jinfeng Yi, Tianbao Yang. A Simple yet Universal Strategy for Online Convex Optimization. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 26605-26623, PMLR, 2022. [doi]

@inproceedings{Zhang0YY22,
  title = {A Simple yet Universal Strategy for Online Convex Optimization},
  author = {Lijun Zhang and Guanghui Wang 0006 and Jinfeng Yi and Tianbao Yang},
  year = {2022},
  url = {https://proceedings.mlr.press/v162/zhang22af.html},
  researchr = {https://researchr.org/publication/Zhang0YY22},
  cites = {0},
  citedby = {0},
  pages = {26605-26623},
  booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
  editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
  volume = {162},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}