Second-order Optimization for Non-convex Machine Learning: an Empirical Study.
Peng XuFred RoostaMichael W. MahoneyPublished in: SDM (2020)
Keyphrases
- machine learning
- optimization algorithm
- optimization problems
- convex programming
- risk minimization
- convex relaxation
- high order
- efficient optimization
- pattern recognition
- explanation based learning
- information extraction
- feature selection
- higher order
- quasiconvex
- model selection
- global optimization
- learning algorithm
- combinatorial optimization
- saddle point
- alternating optimization
- globally optimal
- data mining
- machine learning approaches
- optimization methods
- artificial intelligence
- machine learning methods
- learning systems
- machine learning algorithms
- natural language
- supervised learning
- knowledge discovery
- text mining
- minimize a cost function
- alternating direction method of multipliers
- computer vision
- active learning
- optimization method
- computational intelligence
- knowledge acquisition
- constrained optimization
- convex hull