Optimizing Hyperparameters in CNNs using Bilevel Programming in Time Series Data.
Taniya SethPranab K. MuhuriPublished in: CoRR (2021)
Keyphrases
- bilevel programming
- grid search
- hyperparameters
- optimality conditions
- cross validation
- model selection
- sample size
- bayesian framework
- bayesian inference
- em algorithm
- convex programming
- support vector
- closed form
- random sampling
- convergence analysis
- prior information
- generalization ability
- noise level
- random forest
- incremental learning
- maximum a posteriori
- maximum likelihood
- incomplete data
- random search
- high dimensional
- upper level
- nonlinear programming
- machine learning
- reinforcement learning
- active learning
- parameter space
- probabilistic model
- mathematical programming
- global convergence
- support vector machine
- constrained optimization problems
- support vector regression
- learning problems
- pairwise
- convex optimization
- lower bound
- noisy images