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Changelog for 0.17.0 (#3186)
Summary: Pull Request resolved: #3186 -- Reviewed By: Balandat Differential Revision: D93487047 fbshipit-source-id: a46ab4cd53e76e2f22f0872cb7628e717bb02646
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CHANGELOG.md

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The release log for BoTorch.
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## [0.17.0] -- Feb 17, 2026
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#### Compatibility
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* Require Python>=3.11 and PyTorch>=2.2 (#3152).
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* Require GPyTorch>=1.15.1 (#3181).
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#### New Features
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* Efficient leave-one-out cross-validation for Gaussian processes (#3098) and ensemble models (#3103).
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* `TrajectoryPlanningProblem` test problem (#3182).
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#### New Tutorials & Community Notebooks
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* Feasibility-driven Trust Region Bayesian Optimization tutorial (#3048).
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* HIPE tutorial notebook (#3102).
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* Optimization help example notebook (#3148).
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#### Bug Fixes
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* Fix the shape of `NoisyExpectedHypervolumeMixin._initial_hvs` (#3090).
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* Fix `KroneckerMultiTaskGP.posterior` transforming inputs twice (#3132).
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* Fix minor bugs in `safe_math.py` (#3172).
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#### Other Changes
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* Make SAAS prior sampleable (#3105).
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* Add retries to `optimize_with_nsgaii` (#3116).
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* Allow `PosteriorTransform` API to optionally accept features `X` (#3117).
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* Clean up `get_constants_like` usage in `botorch/utils/probability` (#3131).
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* Improve gradient stability in BVN (#3143).
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* Enable evaluation of `MultiTaskGP` with unobserved tasks (#3145).
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* Simplify task value remapping API (#3163).
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* Update `optimize_acqf_homotopy` to support mixed optimization (#3165).
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* Support custom data covariance modules in `SingleTaskMultifidelityGP` (#3167).
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* Add task-level means to `SaasFullyBayesianMultiTaskGP` (#3175).
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* Use `HadamardGaussianLikelihood` in `HeterogeneousMTGP` for inferred noise (#3176).
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* Add multi-task mixin support to `PyroModel` hierarchy (#3177).
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#### Deprecations and Removals
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* Remove deprecated APIs for v0.17 (#3134).
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* `get_fitted_map_saas_ensemble`
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* `qMultiObjectiveMaxValueEntropy`
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* `FullyBayesianPosterior`
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* `task_feature` parameter from `SingleTaskGP.construct_inputs`
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* `fixed_features` argument from `optimize_acqf_homotopy`
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#### Changes to botorch_community
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* HIPE acquisition function (#3083, #3108).
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* Clamp to 0 to avoid sqrt of negative numbers in `mvn_hellinger_distance` (#3109).
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* Add support for styles to PFN models (#3099, #3114).
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* Batched NEI with PFNs, enable more styles in botorch PFNs (#3113).
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## [0.16.1] -- Nov 21, 2025
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#### New Features

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