·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
When the Trump administration cracks down on Anthropic, who benefits?42m◆Beyond Siri: Here are the practical AI features coming to your iPhone in iOS 271h◆Signal’s Meredith Whittaker wants you to remember that AI chatbots ‘are not your friends’19h◆In the Weights is your new AI-centric vanity search20h◆The Atlantic created a searchable database of the music used to train AI21h◆Nobel laureate John Jumper is leaving DeepMind for rival Anthropic23h◆DeepSWIP: Quotient-WMC Counterfactuals for Neural Probabilistic Logic Programs1d◆AI4SE and SE4AI Exploration: A Decade Looking Back and Forward1d◆Exit-and-Join Dynamics for Decentralized Coalition Formation1d◆Deontic Policies for Runtime Governance of Agentic AI Systems1d◆Hidden Anchors in Multi-Agent LLM Deliberation1d◆LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data1d◆Bistable by Construction: Wall-Clock-Calibrated State Monitors Have No Moment-Detection Regime at Agent Cadence1d◆Can In-Context Learning Support Intrinsic Curiosity?1d◆PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement1d◆One Probe Won't Catch Them All: Towards Targeted Deception Detection1d◆MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning1d◆Review of Machine Learning Models for Solar Energetic Particle Prediction1d◆FlowFake: Liquid Networks for Audio Deepfake Detection1d◆Diffusion Language Models: An Experimental Analysis1d◆When the Trump administration cracks down on Anthropic, who benefits?42m◆Beyond Siri: Here are the practical AI features coming to your iPhone in iOS 271h◆Signal’s Meredith Whittaker wants you to remember that AI chatbots ‘are not your friends’19h◆In the Weights is your new AI-centric vanity search20h◆The Atlantic created a searchable database of the music used to train AI21h◆Nobel laureate John Jumper is leaving DeepMind for rival Anthropic23h◆DeepSWIP: Quotient-WMC Counterfactuals for Neural Probabilistic Logic Programs1d◆AI4SE and SE4AI Exploration: A Decade Looking Back and Forward1d◆Exit-and-Join Dynamics for Decentralized Coalition Formation1d◆Deontic Policies for Runtime Governance of Agentic AI Systems1d◆Hidden Anchors in Multi-Agent LLM Deliberation1d◆LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data1d◆Bistable by Construction: Wall-Clock-Calibrated State Monitors Have No Moment-Detection Regime at Agent Cadence1d◆Can In-Context Learning Support Intrinsic Curiosity?1d◆PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement1d◆One Probe Won't Catch Them All: Towards Targeted Deception Detection1d◆MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning1d◆Review of Machine Learning Models for Solar Energetic Particle Prediction1d◆FlowFake: Liquid Networks for Audio Deepfake Detection1d◆Diffusion Language Models: An Experimental Analysis1d◆
News/GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression
arxiv
PublishedApril 13, 2026 at 4:00 AM

GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression

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

arXiv:2506.03074v5 Announce Type: replace-cross Abstract: We present `GL-LowPopArt`, a novel Catoni-style estimator for generalized low-rank trace regression. Building on `LowPopArt` (Jang et al., 2024), it employs a two-stage approach: nuclear norm regularization followed by matrix Catoni estimatio

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
arxivDeepSWIP: Quotient-WMC Counterfactuals for Neural Probabilistic Logic Programs1darxivAI4SE and SE4AI Exploration: A Decade Looking Back and Forward1darxivExit-and-Join Dynamics for Decentralized Coalition Formation1darxivDeontic Policies for Runtime Governance of Agentic AI Systems1d
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