Why AdamW differs from Adam with L2
ProofIntermediate⏱ 30 minSGDadamwweight decaypreconditionerregularisation
Problem
Write the update of (a) Adam applied to and (b) Adam with decoupled weight decay. Show the two coincide iff the preconditioner is a multiple of the identity, and explain why the version applies weaker shrinkage to high-variance coordinates.
Write a complete argument. Every inequality you use should be one you could state precisely.
Solution
Opening this before you have a real attempt on paper is the fastest way to feel like you understand something you cannot reproduce.
Related problems
All problems| Solved | Problem | Field | Type | Difficulty | Time |
|---|---|---|---|---|---|
| Derive Adam's bias correction | SGD | Proof | 15 min | ||
| Bounding how far the adapted model moves | Fine-Tuning | Proof | 30 min | ||
| The soft-margin SVM is regularised hinge-loss minimisation | Classical ML | Proof | 30 min | ||
| Normalisation makes weights scale-invariant | Deep Learning | Proof | 30 min | ||
| The AdaGrad summation inequality | SGD | Proof | 30 min |