First part: one hour 45 mins

  • Overview of the BO Framework, GPs, advances in GPs and acquisition functions, and BoTorch demo
  • Bayesian Optimization over Discrete/Hybrid Spaces
  • Multi-fidelity Bayesian Optimization

Break: 30 Mins

Second part: one hour 45 mins

  • High-Dimensional BO and BoTorch demo
  • Multi-Objective BO and BoTorch demo
  • Summary and Outstanding Challenges in BO