·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Google has joined Amazon in attacking Nvidia’s stronghold with AI app developers1h◆ChatGPT now lets you lock your chats1h◆NVIDIA Cosmos3-H-Dreams: Bringing Clinical Surgery to Life Through Generative Simulation1h◆Meta pauses Muse sharing after researchers find AI chats on the web1h◆Eric Schmidt reportedly owns about half as much of Anthropic as CEO Dario Amodei2h◆Meta’s Muse hits 10M U.S. downloads in 40 days, a milestone reached by only 11 other apps2h◆FairStress: A deeper evaluation of fairness in LLM decision-making3h◆Plants can speak using electricity, so this startup built an AI model to decipher their language4h◆The new economics of enterprise AI4h◆ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model4h◆Spotify pulled 50 million AI slop and spam tracks from its recommendations5h◆Figma co-founder Dylan Field thinks MCP is not a perfect protocol5h◆US orders federal agencies to remove China’s DeepSeek AI from their systems6h◆Adobe Lightroom mobile can now open closed eyes in photos with a simple tap7h◆Eka is worth $1.45B thanks to a physical AI model that has experts raving7h◆AI adoption by industry shows what other sectors can learn8h◆Otter.ai raises $320 million from General Catalyst’s growth fund for its meeting tool9h◆Yelp can now call on your behalf to check wait times at a restaurant9h◆Franchisee reconciles cash in 94% less time with ChatGPT Work10h◆A visit to Samsung’s massive new semiconductor hub11h◆Google has joined Amazon in attacking Nvidia’s stronghold with AI app developers1h◆ChatGPT now lets you lock your chats1h◆NVIDIA Cosmos3-H-Dreams: Bringing Clinical Surgery to Life Through Generative Simulation1h◆Meta pauses Muse sharing after researchers find AI chats on the web1h◆Eric Schmidt reportedly owns about half as much of Anthropic as CEO Dario Amodei2h◆Meta’s Muse hits 10M U.S. downloads in 40 days, a milestone reached by only 11 other apps2h◆FairStress: A deeper evaluation of fairness in LLM decision-making3h◆Plants can speak using electricity, so this startup built an AI model to decipher their language4h◆The new economics of enterprise AI4h◆ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model4h◆Spotify pulled 50 million AI slop and spam tracks from its recommendations5h◆Figma co-founder Dylan Field thinks MCP is not a perfect protocol5h◆US orders federal agencies to remove China’s DeepSeek AI from their systems6h◆Adobe Lightroom mobile can now open closed eyes in photos with a simple tap7h◆Eka is worth $1.45B thanks to a physical AI model that has experts raving7h◆AI adoption by industry shows what other sectors can learn8h◆Otter.ai raises $320 million from General Catalyst’s growth fund for its meeting tool9h◆Yelp can now call on your behalf to check wait times at a restaurant9h◆Franchisee reconciles cash in 94% less time with ChatGPT Work10h◆A visit to Samsung’s massive new semiconductor hub11h◆
News/Learning to Shuffle: Block Reshuffling and Reversal Schemes for Stochastic Optimization
arxiv
PublishedApril 2, 2026 at 4:00 AM
▲bullish

Learning to Shuffle: Block Reshuffling and Reversal Schemes for Stochastic Optimization

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

arXiv:2604.00260v1 Announce Type: new Abstract: Shuffling strategies for stochastic gradient descent (SGD), including incremental gradient, shuffle-once, and random reshuffling, are supported by rigorous convergence analyses for arbitrary within-epoch permutations. In particular, random reshuffling

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

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

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Mentioned models
01
  • 01
    large language model (LLM)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#optimization#machine-learning#research#algorithms

No replies yet. Be first.

Mentioned models
01
  • 01
    large language model (LLM)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#optimization#machine-learning#research#algorithms
The Bubble Brief
MON · WED · FRI

Read optimization insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

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

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews