Parallel Coordinate Descent Newton Method for Efficient L₁-Regularized Loss Minimization

Engineering

• Algorithm 100%
• Benchmark 14%
• Compute 14%
• Converges 28%
• Data Preprocessing 28%
• Data Transfer 14%
• Dataset 14%
• Descent Direction 14%
• Divergence 14%
• Key Component 14%
• Line Search 42%
• Number of Iteration 14%
• Optimisation Problem 14%
• Parallelism 71%
• State-of-the-Art Method 14%
• Support Vector Machine 14%

Computer Science

• Algorithm Converges 14%
• Benchmark 14%
• Data Preprocessing 28%
• Descent Direction 14%
• Global Convergence 14%
• Large-Scale Optimization 14%
• Logistic Regression 14%
• Loss Minimization 14%
• Machine Problem 14%
• Parallel Algorithm 14%
• Parallelism 71%
• Support Vector Machine 14%
• Synchronization 14%

Mathematics

• Data Set 14%
• Descent Direction 14%
• Divergence 14%
• Key Component 14%
• Logistic Regression 14%
• Newton Method 14%
• Parallel Coordinate 28%
• Step Newton 14%
• Step Size 14%
• Support Vector Machine 14%