Scalable Algorithms for Learning High-Dimensional Linear Mixed Models.
Zilong TanKimberly RocheXiang ZhouSayan MukherjeePublished in: UAI (2018)
Keyphrases
- learning algorithm
- learning models
- high dimensional
- prior knowledge
- learned models
- linear models
- inductive inference
- learning systems
- machine learning algorithms
- learning process
- significant improvement
- learning problems
- learning tasks
- memory efficient
- computational cost
- supervised learning
- unsupervised learning
- data structure
- exponentiated gradient
- linear gaussian
- highly scalable
- structured prediction
- nonlinear models
- scale poorly
- noise tolerant
- learning paradigms
- learning rules
- hidden variables
- linear model
- variable selection
- mathematical models
- high dimensional data
- parameter estimation
- probabilistic model
- active learning
- evolutionary algorithm
- reinforcement learning