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SGD-OGR-Hessian-estimator Alternatives
Similar projects and alternatives to SGD-OGR-Hessian-estimator
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The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better SGD-OGR-Hessian-estimator alternative or higher similarity.
SGD-OGR-Hessian-estimator reviews and mentions
Posts with mentions or reviews of SGD-OGR-Hessian-estimator.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-29.
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Can you realistically write own neural network training optimizer in Mathematica?
I have developed new approach for optimizer (sources, article: https://github.com/JarekDuda/SGD-OGR-Hessian-estimator ) - estimating Hessian from online linear regression of gradients, in evolving locally interesting subspace.
- [R] SGD augmented with 2nd order information from seen sequence of gradients?
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Improving gradient descent convergence e.g. based on local trend of gradients?
Regarding comparison with momentum, here is using the largest learning rate (without escaping to infinity) for the same scenario - leading to ~50x worse values after 30 steps: https://github.com/JarekDuda/SGD-OGR-Hessian-estimator/raw/main/momentum.png
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SGD augmented with 2nd order information from seen sequence of gradients?
Here Hessian is estimated from linear regression of seen gradients, source: https://github.com/JarekDuda/SGD-OGR-Hessian-estimator
- [R] SGD augmented with 2nd order information from seen sequence of gradients - for nasty Beale function starts approaching in ~10 steps
- SGD augmented with 2nd order information from seen sequence of gradients - for nasty Beale function starts approaching in ~10 steps
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Stats
Basic SGD-OGR-Hessian-estimator repo stats
8
10
4.9
12 months ago
JarekDuda/SGD-OGR-Hessian-estimator is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of SGD-OGR-Hessian-estimator is Mathematica.
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