Inverse bayesian optimization: learning human acquisition functions in an exploration vs exploitation search task

HIGHLIGHTS

• who: Nathan Sandholtz and colleagues from the (Aswani et_al, ), goodness of fit (Chan et_al, ), and robustness (Ghobadi et_al, have published the research: Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task, in the Journal: (JOURNAL)
• what: Guided by the model discrepancies for these subjects, the authors propose 1 Bayesian optimization is closely related to (or synonymous with, in some cases) sequential design of experiments, efficient global optimization, adaptive sampling, active learning, optimal search, and hyperparameter optimization. an augmentation to the acquisition functions to construct a superior model of human optimization . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.