·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Greptile takes bug detection beyond code review with GPT-6 Astra2h◆Anthropic is burning gas to feed the AI boom2h◆Will the real Anthropic please stand up6h◆The RealReal won’t let AI agents hog designer clothing6h◆Five weird details from Anthropic’s IPO filing6h◆Anthropic’s IPO filing reveals its strategy for keeping enterprise customers hooked7h◆SpaceX locks in $40B GPU financing deal with Apollo7h◆Our newest AI Quest: Mapping the human brain8h◆Microsoft offers buyouts to 60,000 employees8h◆Anthropic officially files for its public debut9h◆Working with academic communities to build scientific understanding9h◆Kevin Roose is AGI-pilled. Why aren’t you?10h◆GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases10h◆Anthropic’s IPO filing lays out a plan to ‘revolutionize every area of human endeavor’ with AI10h◆Can AI help solve the COBOL code crisis?10h◆ChatGPT’s expanding world of work14h◆The focus on AI safety disasters ignores everyday harms14h◆How Fanatics and OpenAI streamline the fan experience17h◆How Ultrafast cut incident investigation from hours to minutes at OpenAI17h◆Romanized Arabic Across Dialects: Views, Usage Patterns, and Linguistic Variation20h◆Greptile takes bug detection beyond code review with GPT-6 Astra2h◆Anthropic is burning gas to feed the AI boom2h◆Will the real Anthropic please stand up6h◆The RealReal won’t let AI agents hog designer clothing6h◆Five weird details from Anthropic’s IPO filing6h◆Anthropic’s IPO filing reveals its strategy for keeping enterprise customers hooked7h◆SpaceX locks in $40B GPU financing deal with Apollo7h◆Our newest AI Quest: Mapping the human brain8h◆Microsoft offers buyouts to 60,000 employees8h◆Anthropic officially files for its public debut9h◆Working with academic communities to build scientific understanding9h◆Kevin Roose is AGI-pilled. Why aren’t you?10h◆GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases10h◆Anthropic’s IPO filing lays out a plan to ‘revolutionize every area of human endeavor’ with AI10h◆Can AI help solve the COBOL code crisis?10h◆ChatGPT’s expanding world of work14h◆The focus on AI safety disasters ignores everyday harms14h◆How Fanatics and OpenAI streamline the fan experience17h◆How Ultrafast cut incident investigation from hours to minutes at OpenAI17h◆Romanized Arabic Across Dialects: Views, Usage Patterns, and Linguistic Variation20h◆
News/Generative Bayesian Optimization: Generative Models as Acquisition Functions
arxiv
PublishedMay 15, 2026 at 4:00 AM
—neutral

Generative Bayesian Optimization: Generative Models as Acquisition Functions

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2510.25240v3 Announce Type: replace-cross Abstract: We present a general strategy for turning generative models into candidate solution samplers for batch Bayesian optimization (BO). The use of generative models for BO enables large batch scaling as generative sampling, optimization of non-con

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#optimization#machine-learning#research

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#optimization#machine-learning#research

Related coverage

More from ARXIV
arxivRomanized Arabic Across Dialects: Views, Usage Patterns, and Linguistic Variation20h
The Bubble Brief
MON · WED · FRI

Read optimization insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews