Gradient Estimation
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-06.)
Gradient Estimation has 3 facts recorded in Dontopedia across 2 references.
Maturity scale
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isRedundantForwardPassesForIs Redundant Forward Passes for(1)
- Most Compute
ex:most-compute
methodOperationMethod Operation(1)
- Spsa
ex:spsa
stepIncludesStep Includes(1)
- Kuramotospsa
ex:kuramotospsa
Other facts (3)
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| Predicate | Value | Ref |
|---|---|---|
| Calculation Method | (L₊ - L₋) / (2ε·δ) | [1] |
| Quality | noisy 1-sample estimate | [1] |
| Uses Mechanism | Forward Perturbations | [2] |
Timeline
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References (2)
ctx:discord/blah/watt-activation/122- full textwatt-activation-122text/plain3 KB
doc:agent/watt-activation-122/57649dd0-cec5-4d9a-bc09-bec5f2db2137Show excerpt
[2026-03-09 01:19] xenonfun: ⏺ BP = Backpropagation — whether the optimizer computes gradients via automatic differentiation or not. Adam / RotAdamW use standard backprop: 1. Forward pass → compute loss 2. nn.value_and_grad() → autod…
ctx:discord/blah/watt-activation/182- full textwatt-activation-182text/plain2 KB
doc:agent/watt-activation-182/68d54e39-55f1-4bc9-a8b7-cf0fd9466f04Show excerpt
[2026-03-10 01:54] xenonfun: smoketests before any other changes, see if they actually do things now. (files: Screenshot_2026-03-09_at_9.54.29_PM.png) [2026-03-10 01:56] xenonfun: and its doing proper vals this time [2026-03-10 01:57] lisam…
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