BBGP-sDFO: Batch Bayesian and Gaussian Process Enhanced Subspace Derivative Free Optimization for High-Dimensional Analog Circuit Synthesis.
Tianchen GuWangzhen LiAidong ZhaoZhaori BiXudong LiFan YangChanghao YanWenchuang Walter HuDian ZhouTao CuiXin LiuZaikun ZhangXuan ZengPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2024)
Keyphrases
- gaussian process
- derivative free
- high dimensional
- gaussian processes
- unconstrained optimization
- low dimensional
- neural learning
- gradient method
- hyperparameters
- regression model
- optimization methods
- dimensionality reduction
- bayesian framework
- constrained optimization
- high dimensional data
- bayesian inference
- model selection
- semi supervised
- latent variables
- feature space
- nonlinear optimization
- maximum likelihood
- fan beam
- bayesian networks
- parameter space
- objective function
- prior information
- image segmentation
- cross validation
- optimization problems
- high resolution
- feature extraction