Methods › General › Stochastic Optimization › QHAdam
QHAdam
Introduced by Jerry Ma et al. in Quasi-hyperbolic momentum and Adam for deep learning
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The Quasi-Hyperbolic Momentum Algorithm (QHM) is a simple alteration of momentum SGD, averaging a plain SGD step with a momentum step. QHAdam is a QH augmented version of Adam, where we replace both of Adam's moment estimators with quasi-hyperbolic terms. QHAdam decouples the momentum term from the current gradient when updating the weights, and decouples the mean squared gradients term from the current squared gradient when updating the weights.
In essence, it is a weighted average of the momentum and plain SGD, weighting the current gradient with an immediate discount factor v₁ divided by a weighted average of the mean squared gradients and the current squared gradient, weighting the current squared gradient with an immediate discount factor v₂.
θ_(t+1, i) = θ_(t, i) - η[((1-v₁)·gₜ + v₁·m̂ₜ)/(√((1-v₂)g²ₜ + v₂·v̂ₜ) + ϵ)], ∀t
It is recommended to set v₂ = 1 and β₂ same as in Adam.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Quasi-hyperbolic momentum and Adam for deep learning 16 Oct 2018 · 2 repositories · arXiv:1810.06801Syntology ran 0 of 7 samples · 7 unverified · 7 pointer-only (licence)
Tasks archive 2025-07-28
2 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Deep Learning | 1 |
| Stochastic Optimization | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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