SGD Converges to Global Minimum in Deep Learning via Star-convex Path.
Yi ZhouJunjie YangHuishuai ZhangYingbin LiangVahid TarokhPublished in: ICLR (Poster) (2019)
Keyphrases
- deep learning
- global minimum
- cost function
- global minimization
- energy function
- energy minimization
- simulated annealing
- global minimizers
- unsupervised learning
- global optimum
- unsupervised feature learning
- machine learning
- weakly supervised
- global minima
- mental models
- optimal solution
- markov random field
- energy functional
- graph cuts
- maximum likelihood
- principal component analysis
- multiscale
- feature selection
- computer vision