On the flexibility of block coordinate descent for large-scale optimization

Keyphrases

• Algorithm Framework 20%
• Benchmark Tasks 20%
• Block Coordinate Descent 100%
• Computing Environment 40%
• Computing Node 20%
• Distributed Computing 20%
• Distributed Nodes 20%
• Flexible Implementation 20%
• Jacobi 60%
• Large-scale Machine Learning 20%
• Large-scale Optimization 100%
• Machine Learning Processing 20%
• Minimization Problem 20%
• Modern Computing 20%
• Non-negative Matrix Factorization 20%
• Nonconvex Penalty 20%
• Nonsmooth 20%
• Outer Loop 20%
• Parallel Blocks 60%
• Parallel Computing 20%
• Regression Matrix 20%
• Signal Processing Applications 20%
• Sparse Logistic Regression 20%
• Theoretical Convergence Analysis 20%
• Two-layer 20%
• Update Rule 20%

Computer Science

• Benchmark Task 33%
• Computing Environment 66%
• Distributed Computing 33%
• for Loop 33%
• Large-Scale Optimization 100%
• Learning System 33%
• Machine Learning 33%
• Mathematical Convergence 33%
• Minimization Problem 33%
• nonnegative matrix factorization 33%
• Parallel Block 100%
• Parallel Computer 33%
• Signal Processing Application 33%
• Sparse Logistic Regression 33%
• Variable Block 66%