A multivariate adaptive gradient algorithm with reduced tuning efforts

Keyphrases

• Cost Function 100%
• Convex Cost Function 100%
• Strongly Convex 100%
• Adaptive Gradient Methods 100%
• State Estimate 50%
• Image Classification 50%
• Computationally Efficient 50%
• Popular 50%
• Value Function 50%
• Linear Growth Rate 50%
• Convex Function 50%
• Stochastic Settings 50%
• Absolute Difference 50%
• Nonsmooth 50%
• Learning Rate 50%
• Fast Convergence Rate 50%
• Number of Parameters 50%
• Vector Forms 50%
• Art Performance 50%
• Classification Data 50%
• Subgradient 50%
• Nonconvex Functions 50%
• Wide Neural Network 50%
• Non-convex Cost Function 50%
• Machine Learning Tasks 50%
• Nonsmooth Convex Functions 50%

Computer Science

• Convex Function 100%
• Neural Network 33%
• Fast Convergence 33%
• Function Value 33%
• Image Classification 33%
• Convergence Rate 33%
• Learning Rate 33%
• State Estimate 33%
• Art Performance 33%
• Gradient Descent Method 33%
• Learning System 33%
• Machine Learning 33%

Mathematics

• Cost Function 100%
• Convex Function 60%
• Stochastics 20%
• Function Value 20%
• Neural Network 20%
• Smooth Function 20%
• Convergence Rate 20%
• Learning Task 20%
• Subgradient 20%
• Vector Form 20%