optimize sequence of acquisition functions #2931
Open
+479
−190
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Summary: This adds implements an abstract MultiOutputAcquisitionFunction in botorch, as well as two subclasses: - A MultiOutputPosteriorMean - A wrapper around multiple single-output AFs. Differential Revision: D77666057
Summary: see title Differential Revision: D77696625
Summary: Updates: - Use HV-maximizing greedy subset selection - Pass MultiOutputAcquisitionFunction instead of Model as an argument - Add support for fixed features Differential Revision: D77696697
meta-cla
bot
added
the
CLA Signed
|
This pull request was exported from Phabricator. Differential Revision: D78560867 |
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #2931 +/- ##
===========================================
- Coverage 100.00% 99.44% -0.56%
===========================================
Files 212 214 +2
Lines 19827 19907 +80
===========================================
- Hits 19827 19796 -31
- Misses 0 111 +111 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
|
bletham
force-pushed
the
export-D78560867
branch
from
50e8d10 to
87113ea
Compare
bletham
added a commit
to bletham/botorch
that referenced
this pull request
Jul 21, 2025
Summary: Enables sequential q-batch optimization using a sequence of acquisition functions rather than the same acquisition function for each point in the batch. Right now just for when using optimize_acqf, thus focused on continuous search spaces. Differential Revision: D78560867
Summary: Pull Request resolved: pytorch#2931 Enables sequential q-batch optimization using a sequence of acquisition functions rather than the same acquisition function for each point in the batch. Right now just for when using optimize_acqf, thus focused on continuous search spaces. Differential Revision: D78560867
|
This pull request was exported from Phabricator. Differential Revision: D78560867 |
bletham
force-pushed
the
export-D78560867
branch
from
87113ea to
683716d
Compare
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Summary: Enables sequential q-batch optimization using a sequence of acquisition functions rather than the same acquisition function for each point in the batch. Right now just for when using optimize_acqf, thus focused on continuous search spaces.
Differential Revision: D78560867