·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Musk’s AI chatbot Grok reportedly encouraged Trump to capture Venezuela’s president1h◆Google’s new Guided Vision feature can help you read the fine print2h◆ChatGPT can now virtually try on clothes for you3h◆Google thinks SpaceX’s Starship has to launch 1,800 times before space data centers get off the ground3h◆OpenAI cuts ties with 3 safety researchers, WSJ reports4h◆Opus 5.5 loves to tell you ‘this matters’ (and other AI writing tells)4h◆Judge dismisses antitrust lawsuits over Google’s AI Overviews5h◆The eternal complement5h◆Amazon releases its own Jev clone as decision models flood the web5h◆Shopify debuts Canvas, a way to build online stores by chatting with AI5h◆How Albertsons Companies is reimagining retail from the inside out6h◆Brian Chesky interview: AI agents need their own operating system7h◆Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs7h◆OpenAI’s new agent is a shot at Meta — but can it compete with free?7h◆Photon held a funeral for mobile apps. Now it has $4.5M to help replace them with agents.8h◆Inside our months-long investigation into Kevin O’Leary’s Utah data center debacle8h◆Hearing tech startup Legato launches its AI hearing glasses9h◆Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites10h◆Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions18h◆Consistent Plan-Act for Long-Horizon Agentic Tasks18h◆Musk’s AI chatbot Grok reportedly encouraged Trump to capture Venezuela’s president1h◆Google’s new Guided Vision feature can help you read the fine print2h◆ChatGPT can now virtually try on clothes for you3h◆Google thinks SpaceX’s Starship has to launch 1,800 times before space data centers get off the ground3h◆OpenAI cuts ties with 3 safety researchers, WSJ reports4h◆Opus 5.5 loves to tell you ‘this matters’ (and other AI writing tells)4h◆Judge dismisses antitrust lawsuits over Google’s AI Overviews5h◆The eternal complement5h◆Amazon releases its own Jev clone as decision models flood the web5h◆Shopify debuts Canvas, a way to build online stores by chatting with AI5h◆How Albertsons Companies is reimagining retail from the inside out6h◆Brian Chesky interview: AI agents need their own operating system7h◆Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs7h◆OpenAI’s new agent is a shot at Meta — but can it compete with free?7h◆Photon held a funeral for mobile apps. Now it has $4.5M to help replace them with agents.8h◆Inside our months-long investigation into Kevin O’Leary’s Utah data center debacle8h◆Hearing tech startup Legato launches its AI hearing glasses9h◆Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites10h◆Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions18h◆Consistent Plan-Act for Long-Horizon Agentic Tasks18h◆
News/Sharp Structure-Agnostic Minimax Risk for Partial Linear Models
arxiv
PublishedSeptember 10, 2026 at 4:00 AM

Sharp Structure-Agnostic Minimax Risk for Partial Linear Models

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

arXiv:2609.07997v1 Announce Type: new Abstract: We characterize the sharp structure-agnostic minimax risk for coefficient estimation in the partial linear model when the outcome and treatment nuisances are learned by two distinct black-box learners, which resolves the open problem in double machine

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 Predictions18harxivConsistent Plan-Act for Long-Horizon Agentic Tasks18h
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