Methods › General › Stochastic Optimization › AdaSqrt
AdaSqrt
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
AdaSqrt is a stochastic optimization technique that is motivated by the observation that methods like Adagrad and Adam can be viewed as relaxations of Natural Gradient Descent.
The updates are performed as follows:
t ←t + 1
αₜ ←√(t)
gₜ ←∇_θf(θₜ₋₁)
Sₜ ←Sₜ₋₁ + gₜ²
θₜ₊₁ ←θₜ + ηαₜgₜ/(Sₜ + ϵ)
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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Second-order Information in First-order Optimization Methods 20 Dec 2019 · 0 repositories · arXiv:1912.09926
Tasks archive 2025-07-28
1 task 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 |
|---|---|
| 2D Human Pose Estimation | 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
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections