pith:7IRQ65OX
Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails
Adam achieves δ^{-1/2} high-probability convergence while SGD requires at least δ^{-1} under bounded variance.
arxiv:2603.03099 v8 · 2026-03-03 · cs.LG · cs.AI
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Claims
we establish the first theoretical separation between the high-probability convergence behaviors of the two methods: Adam achieves a δ^{-1/2} dependence on the confidence parameter δ, whereas corresponding high-probability guarantee for SGD necessarily incurs at least a δ^{-1} dependence.
the classical bounded variance model (a second moment assumption)
Adam attains a δ^{-1/2} high-probability rate while any SGD guarantee must incur at least δ^{-1} dependence.
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| First computed | 2026-05-20T00:04:27.138505Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fa230f75d773f9d0a2308d545ca7dd0b86b1fb23693fc287a4ad7f9b6c0ac818
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· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/7IRQ65OXOP45BIRQRVKFZJ65BO \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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