Quantum Bayesian Optimization.
Zhongxiang DaiGregory Kang Ruey LauArun VermaYao ShuBryan Kian Hsiang LowPatrick JailletPublished in: NeurIPS (2023)
Keyphrases
- global optimization
- artificial intelligence
- efficient optimization
- optimization algorithm
- optimization problems
- information retrieval
- monte carlo sampling
- bayesian networks
- bayesian learning
- decision theory
- constrained optimization
- quantum computing
- real time
- posterior distribution
- posterior probability
- maximum likelihood
- website
- search engine
- data mining