diff --git a/docs/source/optimize_interface.ipynb b/docs/source/optimize_interface.ipynb
index 37a6b942c..b76d65153 100644
--- a/docs/source/optimize_interface.ipynb
+++ b/docs/source/optimize_interface.ipynb
@@ -1298,37 +1298,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      " 28%|██▊       | 33/120 [03:04<08:17,  5.72s/it]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:106: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n",
+      " 28%|██▊       | 33/120 [04:14<09:45,  6.73s/it]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n",
       "  warnings.warn(\n",
-      "124it [10:02,  4.86s/it]                         "
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Optimal policy: tensor([0.3500, 0.4602], dtype=torch.float64)\n",
-      "{'policy': tensor([0.3500, 0.4602], dtype=torch.float64), 'OptResults':                     message: ['requested number of basinhopping iterations completed successfully']\n",
-      "                    success: False\n",
-      "                        fun: 0.26016707274061507\n",
-      "                          x: [ 3.500e-01  4.602e-01]\n",
-      "                        nit: 3\n",
-      "      minimization_failures: 4\n",
-      "                       nfev: 120\n",
-      " lowest_optimization_result: message: Maximum number of function evaluations has been exceeded.\n",
-      "                             success: False\n",
-      "                              status: 2\n",
-      "                                 fun: 0.26016707274061507\n",
-      "                                   x: [ 3.500e-01  4.601e-01]\n",
-      "                                nfev: 30\n",
-      "                               maxcv: 0.0}\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\n"
+      " 52%|█████▎    | 63/120 [08:35<07:14,  7.62s/it]C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\Anirban\\Documents\\GitHub\\pyciemss\\pyciemss\\ouu\\ouu.py:108: UserWarning: Selected interventions are out of bounds. Will use a penalty instead of estimating risk.\n",
+      "  warnings.warn(\n",
+      " 64%|██████▍   | 77/120 [10:16<06:02,  8.42s/it]"
      ]
     }
    ],
@@ -1341,7 +1317,7 @@
     "initial_guess_interventions = [0.2, 0.4]\n",
     "bounds_interventions = [[0.1, 0.1], [0.5, 0.5]]\n",
     "# Note that param_value is not passed in below and defaults to None.\n",
-    "# User can also pass ina list of lambda x: torch.tensor(x) for each intervention.\n",
+    "# User can also pass in a list of lambda x: torch.tensor(x) for each intervention.\n",
     "static_parameter_interventions = param_value_objective(\n",
     "    param_name=intervened_params,\n",
     "    start_time=intervention_time,\n",
@@ -1384,7 +1360,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
diff --git a/tests/test_interfaces.py b/tests/test_interfaces.py
index a1a29b0d8..240572426 100644
--- a/tests/test_interfaces.py
+++ b/tests/test_interfaces.py
@@ -7,7 +7,7 @@
 import torch
 
 from pyciemss.compiled_dynamics import CompiledDynamics
-from pyciemss.integration_utils.intervention_builder import combine_interventions
+from pyciemss.integration_utils.intervention_builder import combine_static_parameter_interventions
 from pyciemss.integration_utils.observation import load_data
 from pyciemss.interfaces import (
     calibrate,
@@ -582,7 +582,7 @@ def test_optimize(model_fixture, start_time, end_time, num_samples):
         assert opt_policy[i] <= bounds_interventions[1][i]
 
     if "fixed_static_parameter_interventions" in optimize_kwargs:
-        opt_intervention = combine_interventions(
+        opt_intervention = combine_static_parameter_interventions(
             [
                 deepcopy(optimize_kwargs["fixed_static_parameter_interventions"]),
                 optimize_kwargs["static_parameter_interventions"](opt_result["policy"]),