Stochastic and Adversarial Online Learning without Hyperparameters.
Ashok CutkoskyKwabena BoahenPublished in: NIPS (2017)
Keyphrases
- online learning
- hyperparameters
- model selection
- cross validation
- bayesian framework
- closed form
- support vector
- bayesian inference
- random sampling
- prior information
- em algorithm
- maximum likelihood
- noise level
- sample size
- incremental learning
- posterior distribution
- maximum a posteriori
- incomplete data
- gaussian process
- gaussian processes
- active learning
- parameter space
- e learning
- noisy images
- missing values
- generative model
- marginal likelihood
- grid search
- data mining
- parameter estimation
- probabilistic model
- feature selection
- machine learning
- data sets