LatentKroneckerGP for Learning Curve Prediction (#2633)
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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: 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: Pull Request resolved: meta-pytorch#2647 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: Pull Request resolved: meta-pytorch#2647 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: Pull Request resolved: meta-pytorch#2647 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, SebastianAment Differential Revision: D66158880
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Summary: Pull Request resolved: meta-pytorch#2647 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, SebastianAment 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.Differential Revision: D66158880