Stochastic proximal AUC maximization

Keyphrases

• Area under the ROC Curve 100%
• Proximal Area 100%
• Nonlinearity 20%
• Benchmark Dataset 20%
• High Probability 20%
• Loss Function 20%
• Time Complexity 20%
• Application Domain 20%
• Easy-to-implement 20%
• Superior Performance 20%
• Penalty Term 20%
• Convergence Rate 20%
• DSPACE 20%
• Real-world Application 20%
• Performance Metrics 20%
• Regularization Term 20%
• Classification Detection 20%
• Anomaly Detection 20%
• Streaming Data 20%
• Regularizer 20%
• Fast Convergence Rate 20%
• Maximization Algorithm 20%
• Strongly Convex 20%
• Uniform Boundedness 20%
• Probabilistic Convergence 20%
• SPGD Algorithm 20%
• Iteration Times 20%
• Strong Convexity 20%
• Imbalanced Classification 20%
• Proximal Algorithms 20%

Computer Science

• Convergence Rate 100%
• Time Complexity 50%
• Application Domain 50%
• Superior Performance 50%
• World Application 50%
• Objective Function 50%
• Performance Metric 50%
• Regularization Term 50%
• Fast Convergence 50%
• Anomaly Detection 50%
• Data Streaming 50%
• Iteration Time 50%

Mathematics

• Stochastics 100%
• Convergence Rate 100%
• Probability Theory 50%
• Nonlinearity 50%
• Objective Function 50%
• Regularization 50%
• Boundedness 50%
• Loss Function 50%
• Data Streaming 50%