botorch
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Bayesian optimization in PyTorch
# 🐛 Bug Moving this from #1323 . ## To reproduce ** Code snippet to reproduce ** ```python import torch from botorch import fit_gpytorch_model from botorch.models.multitask import KroneckerMultiTaskGP from botorch.models.transforms.outcome...
# 🚀 Feature Request: Batch method for non-analytic acquisition functions when using fully-Bayesian GPRs A batch method for non-analytic acquisition functions when using fully-Bayesian treated GPRs. ## Motivation In the...
Making a new issue from #1391 . The qNEI tutorial should mention * Even when there is noise, qNEI won't outperform EI in 100% of cases, but rather does better...
# 🐛 Bug See https://github.com/pytorch/botorch/issues/1220 for context. `optimize_acqf` does not support inter-point constraints -- those whose `indices` are two-dimensional -- when the acquisition function is `qKnowledgeGradient`. This is because `gen_one_shot_kg_initial_conditions`...
## Motivation It's common to see warnings like this: ```python import torch from botorch.models import SingleTaskGP x = torch.linspace(-5, 10, 100).unsqueeze(-1) model = SingleTaskGP(train_X=x, train_Y=x) ``` ``` /botorch/models/utils/assorted.py:173: InputDataWarning: Input...
# 🐛 Bug Calling `SingleTaskVariationalGP.posterior` with an `input_transform` raises a warning, whereas the equivalent call with `SingleTaskGP` does not. I'm not sure if `input_transform` works correctly with `SingleTaskVariationalGP` or if...
# 🚀 Feature Request I often work with binary data that I model using `SingleTaskVariationalGP` with a `BernoulliLikelihood`. I always get a warning that says `InputDataWarning: Input data is not...
# 🚀 Feature Request Some of the recently added acquisition functions (e.g. from #1458) do not have input constructors for Ax. Let's add them to make sure they can easily...
# 🚀 Feature Request Acquisition function implementation for the task of top-k estimation with diversity as per the following paper: https://arxiv.org/pdf/2210.01383.pdf ## Motivation Top-k estimation (estimating a set of k...
Summary: see title Differential Revision: D41629553