KL-DRO centered on a learned density uses adaptive scenarios
On scarce records, a learned nominal lowered cost under distribution shift on newsvendor and grid capacity problems.
3 stories, newest first · one card per story
On scarce records, a learned nominal lowered cost under distribution shift on newsvendor and grid capacity problems.
A laptop-based local agentic framework generates and critiques edge-case scenarios for autonomous-system safety assurance.
A diffusion method generates highway scenarios at a requested risk percentile, hitting 98.75% of targets.
Today 1.6K readers · 2.4K views · 774 reads · all time 189K views