Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems.
Shuaiwen WangWenda ZhouArian MalekiHaihao LuVahab S. MirrokniPublished in: CoRR (2018)
Keyphrases
- data mining
- learning problems
- high dimensional
- machine learning
- learning tasks
- machine learning algorithms
- learning algorithm
- supervised learning
- semi supervised learning
- kernel methods
- reinforcement learning
- sample complexity
- low dimensional
- computational learning theory
- pac learning
- real world
- objective function
- dimensionality reduction
- data analysis
- knowledge discovery
- multi task learning
- feature space
- multi task
- kernel based learning
- variable selection
- statistical learning theory
- text classification
- text mining
- loss function
- data points
- active learning
- face recognition