·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Amazon will show AI product images when you search for some reason51m◆These two founders left Goldman and Meta to build voice AI for markets everyone else overlooked1h◆Publishers will be able to opt out of AI Search, thanks to new regulation1h◆Microsoft and OpenAI broke up — now they’re ready to fight2h◆Meta’s AI agent for WhatsApp Business is now available globally3h◆Coralogix raises $200M on bet that someone needs to watch the AI agents3h◆5 ways Google Search can level up your thrift and vintage shopping3h◆Direct Preference Optimization Beyond Chatbots3h◆AI has a water problem. Google thinks it has a fix7h◆Google must let publishers opt out of AI Search features, rules UK7h◆FederatedSkill: Federated Learning for Agentic Skill Evolution12h◆Toward a Modular Architecture for Embedded AI Agent Systems at the Edge12h◆A Graph Foundation Model with Spectral Parsing and Prototype-Guided Spatial Propagation12h◆Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate12h◆Evaluating the Reversal Curse in Model Editing12h◆Fast Unlearning at Scale via Margin Self-Correction12h◆Can Local Learning Match Self-Supervised Backpropagation?12h◆CAPER: Clause-Aligned Process Supervision for Text-to-SQL12h◆An Asymptotic Theory of Chain-of-Thought in In-Context Learning12h◆DeskCraft: Benchmarking Desktop Agents on Professional Workflows and Human-in-the-Loop Collaboration12h◆Amazon will show AI product images when you search for some reason51m◆These two founders left Goldman and Meta to build voice AI for markets everyone else overlooked1h◆Publishers will be able to opt out of AI Search, thanks to new regulation1h◆Microsoft and OpenAI broke up — now they’re ready to fight2h◆Meta’s AI agent for WhatsApp Business is now available globally3h◆Coralogix raises $200M on bet that someone needs to watch the AI agents3h◆5 ways Google Search can level up your thrift and vintage shopping3h◆Direct Preference Optimization Beyond Chatbots3h◆AI has a water problem. Google thinks it has a fix7h◆Google must let publishers opt out of AI Search features, rules UK7h◆FederatedSkill: Federated Learning for Agentic Skill Evolution12h◆Toward a Modular Architecture for Embedded AI Agent Systems at the Edge12h◆A Graph Foundation Model with Spectral Parsing and Prototype-Guided Spatial Propagation12h◆Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate12h◆Evaluating the Reversal Curse in Model Editing12h◆Fast Unlearning at Scale via Margin Self-Correction12h◆Can Local Learning Match Self-Supervised Backpropagation?12h◆CAPER: Clause-Aligned Process Supervision for Text-to-SQL12h◆An Asymptotic Theory of Chain-of-Thought in In-Context Learning12h◆DeskCraft: Benchmarking Desktop Agents on Professional Workflows and Human-in-the-Loop Collaboration12h◆
News/Stochastic Gradient Descent with Momentum is Algorithmically Stable
arxiv
PublishedMay 28, 2026 at 4:00 AM

Stochastic Gradient Descent with Momentum is Algorithmically Stable

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

arXiv:2605.28517v1 Announce Type: cross Abstract: Stochastic gradient descent with momentum (SGDM) is one of the most widely used optimization algorithms in machine learning. While optimization properties of SGDM have been extensively studied in the literature, it remains insufficiently understood w

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
arxivFederatedSkill: Federated Learning for Agentic Skill Evolution12harxivToward a Modular Architecture for Embedded AI Agent Systems at the Edge12harxivA Graph Foundation Model with Spectral Parsing and Prototype-Guided Spatial Propagation12harxivAnomalies in Multivariate Time Series Benchmarks Are Mostly Univariate12h
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