3 stories tagged with #bayesian-optimization, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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ARXIV CS.AI
Automated Kernel Discovery Towards Understanding High-dimensional Bayesian Optimization
Gaussian Process (GP) kernels are central to Bayesian optimization (BO), yet designing effective kernels for high-dimensional problems still relies on extensive manual engineering.…
ARXIV CS.AI
Embedding by Elicitation: Dynamic Representations for Bayesian Optimization of System Prompts
System prompts are a central control mechanism in modern AI systems, shaping behavior across conversations, tasks, and user populations. Yet they are difficult to tune when feedbac…
ARXIV CS.AI
Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery
Scientific discovery is increasingly constrained by costly experiments and limited resources, underscoring the need for efficient optimization in AI for science. Bayesian Optimizat…