Practical multi-fidelity Bayesian optimization for hyperparameter tuning

Keyphrases

• Acquisition Function 66%
• Bayesian Optimization 33%
• Black Box 33%
• Convergent Method 33%
• Deep Neural Network 66%
• Examples Validation 33%
• Fewer Iterations 33%
• Fidelity Control 33%
• Highly Flexible 33%
• Hyperparameter Setting 33%
• Hyperparameter Tuning 100%
• Hyperparameters 33%
• Kernel Learning 33%
• Knowledge Gradient 33%
• Multi-fidelity Optimization 33%
• Multi-objective Bayesian Optimization 100%
• New Acquisition 33%
• Popular 33%
• Supervised Learning Model 33%
• Trace Estimation 33%
• Training Points 33%
• Validation Error 66%

Computer Science

• Deep Neural Network 100%
• Supervised Learning 50%
• Trained Network 50%
• Training Point 50%

Chemical Engineering

• Deep Neural Network 100%
• Supervised Learning 50%