LatentKroneckerGP for Learning Curve Prediction
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This pull request was exported from Phabricator. Differential Revision: D66158880 |
Codecov ReportAttention: Patch coverage is
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## main #2633 +/- ##
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- Coverage 99.98% 99.98% -0.01%
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Files 198 200 +2
Lines 17910 18149 +239
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+ Hits 17908 18146 +238
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Summary: Pull Request resolved: meta-pytorch#2633 The `LatentKroneckerGP` model for joint learning curve and hyper-parameter modeling in AutoML. See [Lin et al. 2024](https://arxiv.org/abs/2410.09239). Differential Revision: D66158880
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Summary: Pull Request resolved: meta-pytorch#2633 The `LatentKroneckerGP` model for joint learning curve and hyper-parameter modeling in AutoML. See [Lin et al. 2024](https://arxiv.org/abs/2410.09239). Differential Revision: D66158880
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Dec 9, 2024
Summary: Pull Request resolved: meta-pytorch#2647 Pull Request resolved: meta-pytorch#2633 The `LatentKroneckerGP` model for joint learning curve and hyper-parameter modeling in AutoML. See [Lin et al. 2024](https://arxiv.org/abs/2410.09239). Reviewed By: Balandat Differential Revision: D66158880
jandylin
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Dec 12, 2024
Summary: Pull Request resolved: meta-pytorch#2647 Pull Request resolved: meta-pytorch#2633 The `LatentKroneckerGP` model for joint learning curve and hyper-parameter modeling in AutoML. See [Lin et al. 2024](https://arxiv.org/abs/2410.09239). Reviewed By: Balandat Differential Revision: D66158880
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Summary: The
LatentKroneckerGPmodel for joint learning curve and hyper-parameter modeling in AutoML. See Lin et al. 2024.Implemented by @jandylin.
Differential Revision: D66158880