@online{huang2024rademacher,
  author       = {Huang, Xuanqiang Angelo},
  title        = {Rademacher Complexity},
  date         = {2024-12-21},
  organization = {Xuanqiang Angelo Huang's Blog},
  url          = {https://flecart.github.io/notes/rademacher-complexity/},
  langid       = {english},
  abstract     = {This note used the definitions present in Provably Approximately Correct Learning . So, go there when you encounter a word you don't know. Or search online Rademacher Complexity \# Given an hypothesis set H , we define a family of loss functions as: G = \{ g : ( x , y ) → L ( h ( x}
}