Bayesian optimization
Statistical optimization technique
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- Artificial Intelligence (2)
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- Optimization (1)
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🏷️ Keywords
BONSAI (1) · Bayesian Optimization (1) · Black-box functions (1) · Parameter tuning (1) · Interpretability (1) · arXiv (1) · Data science (1) · RuleSmith (1) · LLM (1) · Game Balancing (1) · Multi-agent systems (1) · Bayesian optimization (1) · CivM (1) · Machine Learning (1)
📖 Key Information
Bayesian optimization is a sequential design strategy for global optimization of black-box functions, that does not assume any functional forms. It is usually employed to optimize expensive-to-evaluate functions. With the rise of artificial intelligence innovation in the 21st century, Bayesian optimization algorithms have found prominent use in machine learning problems for optimizing hyperparameter values.
📰 Related News (2)
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🇺🇸 BONSAI: Bayesian Optimization with Natural Simplicity and Interpretability
arXiv:2602.07144v1 Announce Type: cross Abstract: Bayesian optimization (BO) is a popular technique for sample-efficient optimization of black-box fu...
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🇺🇸 RuleSmith: Multi-Agent LLMs for Automated Game Balancing
arXiv:2602.06232v1 Announce Type: cross Abstract: Game balancing is a longstanding challenge requiring repeated playtesting, expert intuition, and ex...
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