A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization.
Jiazhao ZhangYing HungChung-Ching LinZicheng LiuPublished in: CoRR (2024)
Keyphrases
- gaussian process
- gaussian processes
- hyperparameters
- gaussian process regression
- model selection
- regression model
- grid search
- approximate inference
- bayesian framework
- gaussian process classification
- latent variables
- semi supervised
- dynamical model
- expectation propagation
- cross validation
- marginal likelihood
- covariance function
- random sampling
- machine learning
- incremental learning
- gaussian process models
- human pose estimation
- maximum a posteriori
- high dimensional data
- probability distribution
- probabilistic model
- training data