·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Google’s new Guided Vision feature can help you read the fine print20m◆ChatGPT can now virtually try on clothes for you46m◆Google thinks SpaceX’s Starship has to launch 1,600 times before space data centers get off the ground50m◆OpenAI cuts ties with 3 safety researchers, WSJ reports1h◆Opus 5.5 loves to tell you ‘this matters’ (and other AI writing tells)2h◆Judge dismisses antitrust lawsuits over Google’s AI Overviews2h◆The eternal complement3h◆Amazon releases its own Jev clone as decision models flood the web3h◆Shopify debuts Canvas, a way to build online stores by chatting with AI3h◆How Albertsons Companies is reimagining retail from the inside out4h◆Brian Chesky interview: AI agents need their own operating system4h◆Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs5h◆OpenAI’s new agent is a shot at Meta — but can it compete with free?5h◆Photon held a funeral for mobile apps. Now it has $4.5M to help replace them with agents.6h◆Inside our months-long investigation into Kevin O’Leary’s Utah data center debacle6h◆Hearing tech startup Legato launches its AI hearing glasses7h◆Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites8h◆Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions16h◆Consistent Plan-Act for Long-Horizon Agentic Tasks16h◆Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance16h◆Google’s new Guided Vision feature can help you read the fine print20m◆ChatGPT can now virtually try on clothes for you46m◆Google thinks SpaceX’s Starship has to launch 1,600 times before space data centers get off the ground50m◆OpenAI cuts ties with 3 safety researchers, WSJ reports1h◆Opus 5.5 loves to tell you ‘this matters’ (and other AI writing tells)2h◆Judge dismisses antitrust lawsuits over Google’s AI Overviews2h◆The eternal complement3h◆Amazon releases its own Jev clone as decision models flood the web3h◆Shopify debuts Canvas, a way to build online stores by chatting with AI3h◆How Albertsons Companies is reimagining retail from the inside out4h◆Brian Chesky interview: AI agents need their own operating system4h◆Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs5h◆OpenAI’s new agent is a shot at Meta — but can it compete with free?5h◆Photon held a funeral for mobile apps. Now it has $4.5M to help replace them with agents.6h◆Inside our months-long investigation into Kevin O’Leary’s Utah data center debacle6h◆Hearing tech startup Legato launches its AI hearing glasses7h◆Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites8h◆Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions16h◆Consistent Plan-Act for Long-Horizon Agentic Tasks16h◆Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance16h◆
News/Multi-Armed Bernoulli Bandits via Minimax Single-Arm Stopping
arxiv
PublishedSeptember 22, 2026 at 4:00 AM
—neutral

Multi-Armed Bernoulli Bandits via Minimax Single-Arm Stopping

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

arXiv:2609.22690v1 Announce Type: new Abstract: We develop an index policy for finite-horizon Bernoulli multi-armed bandits from minimax solutions to single-arm bandit (SAB) problems. Each SAB problem involves choosing between an unknown Bernoulli arm and a known reward. We show that minimizing wors

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 →

Related coverage

More from ARXIV
arxivReasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions16harxivConsistent Plan-Act for Long-Horizon Agentic Tasks16harxivPredictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance16h
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 ↗
Built by Marouane Gazouzi
HomeModelsNews