New paper extends universal law of robustness to four broader settings

A new paper extends Bubeck and Sellke's universal law of robustness to log-concave covariates, heterogeneous mixtures, vector-valued predictors, and Markovian data.

Read the full story at arXiv stat.ML ↗

Timeline · 1 report

2026-11-04 05:00 · arXiv stat.ML
Four Extensions of the Universal Law of Robustness: Log-Concave Covariates, Heterogeneous Mixtures, Vector-Valued Predictors, and Markovian Data

More stories

Postman's Claude Code and Codex installs spark security debate over silent self-upgrades — Runway Research
Google to cut off search access for schools that ban AI use — Forbes AI
Democratic Midterm Wins Cloud Outlook for AI Data Center Expansion — DigiTimes Asia
Anthropic reports 1,100% revenue surge and $895B compute commitments ahead of IPO — Reuters AI
AI inference startup Fal raises $1.3B at $16B valuation in Bessemer-led round — Bloomberg AI
Tencent launches Hy4 open-weight AI model with vision and computer-use capabilities — SCMP China Tech
Musk says Grok Bot costs 'unsustainably high' as usage limits suddenly max out — Forbes AI
Israeli startup 42AI emerges from stealth with $62.5M seed for behavioral world model — TechCrunch AI

Get the daily brief of stories like this at 6:30 every morning →