fix batched lbfgsb docs (#2891)

Summary:
## Motivation

Currenlty our main tests fail, due to a problem with the docs.

### Have you read the [Contributing Guidelines on pull requests](https://github.com/pytorch/botorch/blob/main/CONTRIBUTING.md#pull-requests)?

Yes.

Pull Request resolved: #2891

Test Plan: I have not changed code, just comments.

Reviewed By: saitcakmak

Differential Revision: D77047544

Pulled By: SamuelGabriel

fbshipit-source-id: 8ae499baf9d232e5616b5d0c205b7cfaf9a36601

Author: SamuelGabriel

botorch/generation/batched_lbfgs_b.py

@@ -1,13 +1,7 @@
 # noqa
 # flake8: noqa
 """
-Functions
----------
-.. autosummary::
-   :toctree: generated/
-
-    fmin_l_bfgs_b
-
+Just the standard L-BFGS-B algorithm, as implemented in scipy.optimize.minimize.
 """
 
 ## License for the Python wrapper
@@ -527,14 +521,13 @@ class LbfgsInvHessProduct(LinearOperator):
     ----------
     sk : array_like, shape=(n_corr, n)
         Array of `n_corr` most recent updates to the solution vector.
-        (See [1]).
     yk : array_like, shape=(n_corr, n)
-        Array of `n_corr` most recent updates to the gradient. (See [1]).
+        Array of `n_corr` most recent updates to the gradient.
 
     References
     ----------
-    .. [1] Nocedal, Jorge. "Updating quasi-Newton matrices with limited
-       storage." Mathematics of computation 35.151 (1980): 773-782.
+    * Nocedal, Jorge. "Updating quasi-Newton matrices with limited storage."
+      Mathematics of computation 35.151 (1980): 773-782.
 
     """