Quantifying (Hyper) Parameter Leakage in Machine Learning.
Vasisht DudduD. Vijay RaoPublished in: BigMM (2020)
Keyphrases
- machine learning
- hyperparameters
- model selection
- cross validation
- closed form
- parameter settings
- random sampling
- decision trees
- em algorithm
- bayesian inference
- maximum a posteriori
- maximum likelihood
- bayesian framework
- missing values
- active learning
- learning algorithm
- data mining
- data sets
- support vector machine
- data analysis
- prior information
- similarity measure
- noise level
- reinforcement learning
- training data
- e learning
- feature selection