diff --git a/doc/parameter.rst b/doc/parameter.rst
index e3cde84df..4f4b0560a 100644
--- a/doc/parameter.rst
+++ b/doc/parameter.rst
@@ -195,7 +195,7 @@ Parameters for Tree Booster
 * ``grow_policy`` [default= ``depthwise``]
 
   - Controls a way new nodes are added to the tree.
-  - Currently supported only if ``tree_method`` is set to ``hist``.
+  - Currently supported only if ``tree_method`` is set to ``hist`` or ``gpu_hist``.
   - Choices: ``depthwise``, ``lossguide``
 
     - ``depthwise``: split at nodes closest to the root.
@@ -207,7 +207,7 @@ Parameters for Tree Booster
 
 * ``max_bin``, [default=256]
 
-  - Only used if ``tree_method`` is set to ``hist``.
+  - Only used if ``tree_method`` is set to ``hist`` or ``gpu_hist``.
   - Maximum number of discrete bins to bucket continuous features.
   - Increasing this number improves the optimality of splits at the cost of higher computation time.
 
diff --git a/doc/treemethod.rst b/doc/treemethod.rst
index 6b32fa4eb..97ebeb2e5 100644
--- a/doc/treemethod.rst
+++ b/doc/treemethod.rst
@@ -1,8 +1,7 @@
 ####################
-XGBoost Tree methods
+XGBoost Tree Methods
 ####################
 
-
 For training boosted tree models, there are 2 parameters used for choosing algorithms,
 namely ``updater`` and ``tree_method``.  XGBoost has 4 builtin tree methods, namely
 ``exact``, ``approx``, ``hist`` and ``gpu_hist``.  Along with these tree methods, there