botorch
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pytorch
Bayesian optimization in PyTorch
## Motivation Add tutorial utilizing dKG and dNEI for dGP functionality. ### Have you read the [Contributing Guidelines on pull requests](https://github.com/pytorch/botorch/blob/main/CONTRIBUTING.md#pull-requests)? Yes ## Test Plan N/A (notebook runs without issues)....
# 🐛 Bug I'm trying to maximize f(x) with respect to x in 2D, where f ~ GP using the GPDraw function (i.e., 1 step in the Thompson sampling procedure)....
# 🚀 Feature Request Hello, I'm interested in studying GPs with derivatives, similar to the example provided in [this notebook](https://github.com/pytorch/botorch/files/10397530/demo_deriv_enabled_BO_logEI.ipynb.txt) provided in [this issue](https://github.com/pytorch/botorch/issues/1626). However, the previous notebook uses LogEI...
# 🐛 Bug Recently the `Standardize` transform [was modified](https://github.com/pytorch/botorch/pull/1875) to better support checkpoint loading with `torch.load`. The solution proposed was to add a boolean tensor `_is_trained` to the module's state...
# 🚀 Feature Request: Add use examples in synthetic functions Example uses for functions in `botorch.test_functions.synthetic` ## Motivation **Is your feature request related to a problem? Please describe.** I'm trying...
# 🚀 Feature Request Make it easier to perform random restart optimization for MAP estimation. Currently this isn't really exposed and would require some amount of custom code to set...
# 🚀 Feature Request Implementation of HeteroskedasticMixedSingleTaskGP that supports categorical variable search ## Motivation Many black-box problems are related in the search of both categorical space and continous space MixedSingleTaskGP....
# 🐛 Bug With the risk of looking a bit silly, I don't think conditioning on additional observations works when using fully Bayesian GPs out of the box. ## To...
Summary: Probabilistic reparameterization Differential Revision: D41629217
Summary: This commit introduces a mixin design to increase code sharing between `qLogNEI` and `qNEI`. Differential Revision: D47511290
