@online{huang2025bayesian,
  author       = {Huang, Xuanqiang Angelo},
  title        = {Bayesian Optimization},
  date         = {2025-01-18},
  organization = {Xuanqiang Angelo Huang's Blog},
  url          = {https://flecart.github.io/notes/bayesian-optimization/},
  langid       = {english},
  abstract     = {While Active Learning looks for the most informative points to recover a true underlying function, Bayesian Optimization is just interested to find the maximum of that function. In Bayesian Optimization, we ask for the best way to find sequentially a set of points x 1 ​ , … , x n}
}