CS5720 - Week 12
Slide 222 of 240

Hyperparameter Tuning Strategies

Popular Tuning Strategies

🔲 Grid Search
Exhaustive search over all parameter combinations in a predefined grid.
✓ Guaranteed to find optimal combination within grid
🎲 Random Search
Random sampling from parameter distributions.
✓ More efficient than grid search for high dimensions
🧠 Bayesian Optimization
Uses probabilistic models to guide the search intelligently.
✓ Sample efficient, learns from previous evaluations
⚡ Hyperband
Multi-fidelity optimization with early stopping.
✓ Fast convergence, handles budget constraints

Strategy Comparison

Method Efficiency Sample Quality Ease of Use
Grid Search
★ ★ ☆
★ ★ ★
★ ★ ★
Random Search
★ ★ ★
★ ★ ☆
★ ★ ★
Bayesian Opt.
★ ★ ★
★ ★ ★
★ ★ ☆
Hyperband
★ ★ ★
★ ★ ★
★ ☆ ☆

Interactive Hyperparameter Tuning Simulator

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Prepared by Dr. Gorkem Kar