A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization

Mathematics

• Nonsmooth Optimization 100%
• Nonconvex Optimization 98%
• Non-negative Matrix Factorization 62%
• Data Acquisition 59%
• Stochastic Gradient 54%
• Information Processing 52%
• Stochastic Optimization 48%
• Deconvolution 48%
• Nonconvex Problems 48%
• Sparse matrix 47%
• Stochastic Methods 47%
• Imaging 45%
• Machine Learning 45%
• Optimization Methods 44%
• Principal Component Analysis 44%
• Efficacy 43%
• Oracle 43%
• Global Convergence 39%
• Optimization Problem 29%
• Numerical Examples 25%
• Demonstrate 24%
• Estimator 24%
• Class 12%

Engineering & Materials Science

• Deconvolution 23%
• Factorization 20%
• Principal component analysis 19%
• Data acquisition 17%
• Imaging techniques 15%
• Machine learning 15%