BibTeX record conf/icml/TianZS22

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@inproceedings{DBLP:conf/icml/TianZS22,
  author       = {Lai Tian and
                  Kaiwen Zhou and
                  Anthony Man{-}Cho So},
  editor       = {Kamalika Chaudhuri and
                  Stefanie Jegelka and
                  Le Song and
                  Csaba Szepesv{\'{a}}ri and
                  Gang Niu and
                  Sivan Sabato},
  title        = {On the Finite-Time Complexity and Practical Computation of Approximate
                  Stationarity Concepts of Lipschitz Functions},
  booktitle    = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
                  2022, Baltimore, Maryland, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {162},
  pages        = {21360--21379},
  publisher    = {{PMLR}},
  year         = {2022},
  url          = {https://proceedings.mlr.press/v162/tian22a.html},
  timestamp    = {Tue, 12 Jul 2022 17:36:52 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/TianZS22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}