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Online convex optimization

Also called OCO.

Each round a convex loss is revealed after choosing a point, and the goal is low regret against the best fixed point.

Each round a convex loss is revealed after choosing a point, and the goal is low regret against the best fixed point.

About this page

The build computes these levels from the evidence in the repository. Each row says what the next level needs. Read what the levels mean.

LadderLevelWhat the next level needs
Human proofH0 no proof
  • add a proof in proofs/ (06.5)
LeanL0 no Lean part
  • name a Lean module in the lean field (07)
VisualV0 none
  • add viz/scene.ts or a figure (10)
WritingW0 stub
  • Definition
  • one source with a locator