Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization.
Agustinus KristiadiAlexander ImmerRuna EschenhagenVincent FortuinPublished in: CoRR (2023)
Keyphrases
- global optimization
- optimal design
- nonlinear optimization
- optimization algorithm
- efficient optimization
- optimization problems
- kalman filter
- optimization method
- optimization strategies
- optimization model
- decision theory
- evolution strategy
- monte carlo sampling
- neural network
- bayesian analysis
- optimization criteria
- optimization process
- markov random field
- cost function
- bayesian networks
- case study
- social networks
- data mining