Pinned post
🚨New preprint!
✨My precious✨ GOLLuM: GP-Optimized LLMs for Bayesian Optimization — the first of its kind!
LLMs as deep kernels in GPs jointly optimized via marginal likelihood → implicit metric learning, calibrated uncertainty & superior sampling 🚀
📄 arxiv.org/abs/2504.06265
✨My precious✨ GOLLuM: GP-Optimized LLMs for Bayesian Optimization — the first of its kind!
LLMs as deep kernels in GPs jointly optimized via marginal likelihood → implicit metric learning, calibrated uncertainty & superior sampling 🚀
📄 arxiv.org/abs/2504.06265
arxiv.org Large language models as uncertainty-calibrated optimizers for... Scientific discovery increasingly depends on efficient experimental optimization to navigate vast design spaces under time and resource constraints. Traditional approaches often require extensive... 
