Linearly Convergent Algorithms for Learning Shallow Residual Networks.
Gauri JagatapChinmay HegdePublished in: ISIT (2019)
Keyphrases
- learning algorithm
- learning systems
- significant improvement
- noise tolerant
- supervised learning
- reinforcement learning
- learning process
- mobile learning
- orders of magnitude
- learning tasks
- theoretical analysis
- computationally efficient
- optimization problems
- prior knowledge
- evolutionary algorithm
- computational complexity
- natural language
- automatically learned
- statistical queries
- learning models
- learning analytics
- connectionist networks
- unsupervised learning
- network structure
- benchmark datasets
- machine learning algorithms
- online learning
- natural language processing
- optimal solution
- training data
- feature selection