$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.
Carl HvarfnerDanny StollArtur L. F. SouzaMarius LindauerFrank HutterLuigi NardiPublished in: ICLR (2022)
Keyphrases
- optimization algorithm
- user interaction
- user experience
- collaborative filtering
- bayesian inference
- global optimization
- data sets
- user profiles
- optimization process
- constrained optimization
- recommender systems
- information overload
- bayesian networks
- monte carlo sampling
- power system
- user satisfaction
- optimization methods
- efficient optimization
- user model
- posterior probability
- belief revision
- basis functions
- data driven
- optimization problems
- web search
- relevance feedback
- image retrieval
- decision making
- information retrieval