Release 0.17.1 - Bump pinned gpytorch and linear_operator versions

Summary:
[botorch] Release 0.17.1 - Bump pinned gpytorch and linear_operator versions


This diff prepares the 0.17.1 release of BoTorch with the following changes:

**Bug Fixes**
- Fix BAxUS bugs (meta-pytorch#3204)
- Fix q-dim bug in `ScalarizedPosteriorMean` (meta-pytorch#3191)
- Project `candidate_set` in `qMultiFidelityMaxValueEntropy.__init__` (meta-pytorch#3205)

**Other Changes**
- Make `d` and `target_fidelities` required in `project_to_target_fidelity` (meta-pytorch#3203)
- Add test harness infrastructure for acquisition function testing (meta-pytorch#3190, meta-pytorch#3192)
- Fix typos and docstring issues across botorch (meta-pytorch#3211)
- Fix docstring issues in analytic acquisition functions (meta-pytorch#3208)

**Compatibility**
- Require GPyTorch>=1.15.2 and linear_operator>=0.6.1

Differential Revision: D95224716

Author: sdaulton

CHANGELOG.md

@@ -2,6 +2,25 @@
 
 The release log for BoTorch.
 
+## [0.17.1] -- Mar 4, 2026
+
+#### Bug Fixes
+* Fix BAxUS bugs (#3204).
+* Fix q-dim bug in `ScalarizedPosteriorMean` (#3191).
+* Project `candidate_set` in `qMultiFidelityMaxValueEntropy.__init__` before
+  passing to `super().__init__`, allowing `candidate_set` to be either `n x d`
+  (without fidelity dims) or `n x (d + s)` (with fidelity dims) (#3205).
+
+#### Other Changes
+* Make `d` and `target_fidelities` required arguments in
+  `project_to_target_fidelity` to eliminate silent bugs (#3203).
+* Add test harness infrastructure for acquisition function testing (#3190, #3192).
+* Fix typos and docstring issues across botorch (#3211).
+* Fix docstring issues in analytic acquisition functions (#3208).
+
+#### Compatibility
+* Require GPyTorch>=1.15.2 and linear_operator>=0.6.1 (#3182).
+
 ## [0.17.0] -- Feb 17, 2026
 
 #### Compatibility

pyproject.toml

@@ -23,8 +23,8 @@ dynamic = ["version"]
 dependencies = [
     "typing_extensions",
     "pyre_extensions",
-    "gpytorch>=1.15.1",
-    "linear_operator>=0.6",
+    "gpytorch>=1.15.2",
+    "linear_operator>=0.6.1",
     "torch>=2.2",
     "pyro-ppl>=1.8.4",
     "scipy",