Stealing Hyperparameters in Machine Learning.
Binghui WangNeil Zhenqiang GongPublished in: CoRR (2018)
Keyphrases
- hyperparameters
- model selection
- machine learning
- cross validation
- closed form
- gaussian process
- bayesian framework
- prior information
- bayesian inference
- em algorithm
- sample size
- support vector
- random sampling
- regularization parameter
- maximum likelihood
- gaussian processes
- noise level
- maximum a posteriori
- machine learning methods
- incremental learning
- computer vision
- support vector machine
- incomplete data
- learning tasks
- feature selection
- machine learning algorithms
- learning algorithm
- meta learning
- expectation maximization
- data mining
- missing values
- data analysis
- reinforcement learning
- decision trees
- data sets