Robust Model Selection and Nearly-Proper Learning for GMMs.
Allen LiuJerry LiAnkur MoitraPublished in: NeurIPS (2022)
Keyphrases
- model selection
- statistical learning
- bayesian learning
- cross validation
- covariate shift
- meta learning
- learning machines
- automatic model selection
- unsupervised learning
- sample size
- motion segmentation
- incremental learning
- bayesian methods
- hyperparameters
- machine learning
- learning problems
- learning tasks
- regression model
- similarity measure
- statistical inference
- error estimation
- feature selection
- learning algorithm
- variable selection
- gaussian process
- mixture model
- maximum likelihood
- support vector
- model selection criteria