·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
OpenAI’s first hardware device is reportedly a screenless speaker that can move51m◆OpenAI pushes back on Apple trade secret lawsuit1h◆OpenAI’s new flagship model deletes files on its own, people keep warning1h◆OpenAI may announce a ChatGPT smart speaker this year1h◆Apple opens its new Siri AI to everyone with the iOS 27 public beta3h◆Anthropic’s newest ad is creeping people out3h◆The founder of Hinge raised $18M to build a new AI dating service, Overtone3h◆SpaceXAI’s Grok programming tool was uploading its users’ entire codebase to cloud storage3h◆Google faces another AI training lawsuit from major publishers4h◆DeepMind CEO calls for an independent standards body to regulate frontier AI5h◆Meta accused of using biased AI targeting for mass layoffs5h◆Meta’s Adam Mosseri says AI token budgets could soon be capped per engineer6h◆Google Images gets a Pinterest-like redesign focused on discovery7h◆The Google Images homepage will recommend photos even before you search7h◆Celebrating 25 years of visual search innovation7h◆Spotify is now an AI chatbot, too7h◆New York State halts construction of all new data centers7h◆Reflection inks $1B compute deal with Nebius8h◆The real AI race may no longer be at the frontier8h◆Spotify expands its AI push with a ChatGPT-like music assistant9h◆OpenAI’s first hardware device is reportedly a screenless speaker that can move51m◆OpenAI pushes back on Apple trade secret lawsuit1h◆OpenAI’s new flagship model deletes files on its own, people keep warning1h◆OpenAI may announce a ChatGPT smart speaker this year1h◆Apple opens its new Siri AI to everyone with the iOS 27 public beta3h◆Anthropic’s newest ad is creeping people out3h◆The founder of Hinge raised $18M to build a new AI dating service, Overtone3h◆SpaceXAI’s Grok programming tool was uploading its users’ entire codebase to cloud storage3h◆Google faces another AI training lawsuit from major publishers4h◆DeepMind CEO calls for an independent standards body to regulate frontier AI5h◆Meta accused of using biased AI targeting for mass layoffs5h◆Meta’s Adam Mosseri says AI token budgets could soon be capped per engineer6h◆Google Images gets a Pinterest-like redesign focused on discovery7h◆The Google Images homepage will recommend photos even before you search7h◆Celebrating 25 years of visual search innovation7h◆Spotify is now an AI chatbot, too7h◆New York State halts construction of all new data centers7h◆Reflection inks $1B compute deal with Nebius8h◆The real AI race may no longer be at the frontier8h◆Spotify expands its AI push with a ChatGPT-like music assistant9h◆
News/Optimal scaling of MCMC algorithms: the Hamiltonian approach
arxiv
PublishedJuly 14, 2026 at 4:00 AM
—neutral

Optimal scaling of MCMC algorithms: the Hamiltonian approach

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

arXiv:2607.00586v2 Announce Type: replace-cross Abstract: We present a simple, yet general approach to study the scaling properties as the dimensionality of Metropolised MCMC sampling algorithms increases. The study relies on the symmetries of the Hamiltonian formalism and ultimately on the symmetry

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

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

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

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

Originally published on arxiv ↗
HomeModelsNews