A Nearly Optimal Variant of the Perceptron Algorithm for the Uniform Distribution on the Unit Sphere

Marco Schmalhofer. A Nearly Optimal Variant of the Perceptron Algorithm for the Uniform Distribution on the Unit Sphere. In Jacob D. Abernethy, Shivani Agarwal 0001, editors, Conference on Learning Theory, COLT 2020, 9-12 July 2020, Virtual Event [Graz, Austria]. Volume 125 of Proceedings of Machine Learning Research, pages 3285-3295, PMLR, 2020. [doi]

@inproceedings{Schmalhofer20,
  title = {A Nearly Optimal Variant of the Perceptron Algorithm for the Uniform Distribution on the Unit Sphere},
  author = {Marco Schmalhofer},
  year = {2020},
  url = {http://proceedings.mlr.press/v125/schmalhofer20a.html},
  researchr = {https://researchr.org/publication/Schmalhofer20},
  cites = {0},
  citedby = {0},
  pages = {3285-3295},
  booktitle = {Conference on Learning Theory, COLT 2020, 9-12 July 2020, Virtual Event [Graz, Austria]},
  editor = {Jacob D. Abernethy and Shivani Agarwal 0001},
  volume = {125},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}