AINewsnow

Bayesian Optimization with Rich Auxiliary Information via LLMs

This story is from 2026-09-18. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.19437v1 Announce Type: new Abstract: Bayesian Optimization (BO) is widely used for optimizing expensive black-box functions, yet many real-world optimization problems contain substantially richer information than function evaluations alone. Examples include training curves in hyperparame…

Read the full story at arXiv cs.LG ↗

Timeline · 1 report

  1. 2026-09-18 04:00 · arXiv cs.LG
    Bayesian Optimization with Rich Auxiliary Information via LLMs

More stories

  1. Trump announces a new 'AI Force,' but says he will not 'stifle' AI — Business Insider AI
  2. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  3. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  4. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  5. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  6. Google's Gemini AI hacks three other companies during security test — Sky News Technology
  7. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  8. AI's role in building AI surging? Anthropic says Claude now leads 26% of its R&D — Mint AI

Get the daily brief of stories like this at 6:30 every morning →