diff --git a/doc/gpu/index.rst b/doc/gpu/index.rst
index 49cbb78dc..9a83993fc 100644
--- a/doc/gpu/index.rst
+++ b/doc/gpu/index.rst
@@ -97,39 +97,43 @@ Objective functions
 ===================
 Most of the objective functions implemented in XGBoost can be run on GPU.  Following table shows current support status.
 
-+--------------------+-------------+
-| Objectives         | GPU support |
-+--------------------+-------------+
-| reg:squarederror   | |tick|      |
-+--------------------+-------------+
-| reg:squaredlogerror| |tick|      |
-+--------------------+-------------+
-| reg:logistic       | |tick|      |
-+--------------------+-------------+
-| binary:logistic    | |tick|      |
-+--------------------+-------------+
-| binary:logitraw    | |tick|      |
-+--------------------+-------------+
-| binary:hinge       | |tick|      |
-+--------------------+-------------+
-| count:poisson      | |tick|      |
-+--------------------+-------------+
-| reg:gamma          | |tick|      |
-+--------------------+-------------+
-| reg:tweedie        | |tick|      |
-+--------------------+-------------+
-| multi:softmax      | |tick|      |
-+--------------------+-------------+
-| multi:softprob     | |tick|      |
-+--------------------+-------------+
-| survival:cox       | |cross|     |
-+--------------------+-------------+
-| rank:pairwise      | |tick|      |
-+--------------------+-------------+
-| rank:ndcg          | |tick|      |
-+--------------------+-------------+
-| rank:map           | |tick|      |
-+--------------------+-------------+
++----------------------+-------------+
+| Objectives           | GPU support |
++----------------------+-------------+
+| reg:squarederror     | |tick|      |
++----------------------+-------------+
+| reg:squaredlogerror  | |tick|      |
++----------------------+-------------+
+| reg:logistic         | |tick|      |
++----------------------+-------------+
+| reg:pseudohubererror | |tick|      |
++----------------------+-------------+
+| binary:logistic      | |tick|      |
++----------------------+-------------+
+| binary:logitraw      | |tick|      |
++----------------------+-------------+
+| binary:hinge         | |tick|      |
++----------------------+-------------+
+| count:poisson        | |tick|      |
++----------------------+-------------+
+| reg:gamma            | |tick|      |
++----------------------+-------------+
+| reg:tweedie          | |tick|      |
++----------------------+-------------+
+| multi:softmax        | |tick|      |
++----------------------+-------------+
+| multi:softprob       | |tick|      |
++----------------------+-------------+
+| survival:cox         | |cross|     |
++----------------------+-------------+
+| survival:aft         | |tick|      |
++----------------------+-------------+
+| rank:pairwise        | |tick|      |
++----------------------+-------------+
+| rank:ndcg            | |tick|      |
++----------------------+-------------+
+| rank:map             | |tick|      |
++----------------------+-------------+
 
 Objective will run on GPU if GPU updater (``gpu_hist``), otherwise they will run on CPU by
 default.  For unsupported objectives XGBoost will fall back to using CPU implementation by
@@ -140,41 +144,47 @@ Metric functions
 ===================
 Following table shows current support status for evaluation metrics on the GPU.
 
-+-----------------+-------------+
-| Metric          | GPU Support |
-+=================+=============+
-| rmse            | |tick|      |
-+-----------------+-------------+
-| rmsle           | |tick|      |
-+-----------------+-------------+
-| mae             | |tick|      |
-+-----------------+-------------+
-| logloss         | |tick|      |
-+-----------------+-------------+
-| error           | |tick|      |
-+-----------------+-------------+
-| merror          | |tick|      |
-+-----------------+-------------+
-| mlogloss        | |tick|      |
-+-----------------+-------------+
-| auc             | |tick|      |
-+-----------------+-------------+
-| aucpr           | |cross|     |
-+-----------------+-------------+
-| ndcg            | |tick|      |
-+-----------------+-------------+
-| map             | |tick|      |
-+-----------------+-------------+
-| poisson-nloglik | |tick|      |
-+-----------------+-------------+
-| gamma-nloglik   | |tick|      |
-+-----------------+-------------+
-| cox-nloglik     | |cross|     |
-+-----------------+-------------+
-| gamma-deviance  | |tick|      |
-+-----------------+-------------+
-| tweedie-nloglik | |tick|      |
-+-----------------+-------------+
++------------------------------+-------------+
+| Metric                       | GPU Support |
++==============================+=============+
+| rmse                         | |tick|      |
++------------------------------+-------------+
+| rmsle                        | |tick|      |
++------------------------------+-------------+
+| mae                          | |tick|      |
++------------------------------+-------------+
+| mphe                         | |tick|      |
++------------------------------+-------------+
+| logloss                      | |tick|      |
++------------------------------+-------------+
+| error                        | |tick|      |
++------------------------------+-------------+
+| merror                       | |tick|      |
++------------------------------+-------------+
+| mlogloss                     | |tick|      |
++------------------------------+-------------+
+| auc                          | |tick|      |
++------------------------------+-------------+
+| aucpr                        | |cross|     |
++------------------------------+-------------+
+| ndcg                         | |tick|      |
++------------------------------+-------------+
+| map                          | |tick|      |
++------------------------------+-------------+
+| poisson-nloglik              | |tick|      |
++------------------------------+-------------+
+| gamma-nloglik                | |tick|      |
++------------------------------+-------------+
+| cox-nloglik                  | |cross|     |
++------------------------------+-------------+
+| aft-nloglik                  | |tick|      |
++------------------------------+-------------+
+| interval-regression-accuracy | |tick|      |
++------------------------------+-------------+
+| gamma-deviance               | |tick|      |
++------------------------------+-------------+
+| tweedie-nloglik              | |tick|      |
++------------------------------+-------------+
 
 Similar to objective functions, default device for metrics is selected based on tree
 updater and predictor (which is selected based on tree updater).
diff --git a/doc/parameter.rst b/doc/parameter.rst
index fcd20cfc3..be29f0d20 100644
--- a/doc/parameter.rst
+++ b/doc/parameter.rst
@@ -357,7 +357,7 @@ Specify the learning task and the corresponding learning objective. The objectiv
     Note that predictions are returned on the hazard ratio scale (i.e., as HR = exp(marginal_prediction) in the proportional hazard function ``h(t) = h0(t) * HR``).
   - ``survival:aft``: Accelerated failure time model for censored survival time data.
     See :doc:`/tutorials/aft_survival_analysis` for details.
-  - ``aft_loss_distribution``: Probabilty Density Function used by ``survival:aft`` and ``aft-nloglik`` metric.
+  - ``aft_loss_distribution``: Probabilty Density Function used by ``survival:aft`` objective and ``aft-nloglik`` metric.
   - ``multi:softmax``: set XGBoost to do multiclass classification using the softmax objective, you also need to set num_class(number of classes)
   - ``multi:softprob``: same as softmax, but output a vector of ``ndata * nclass``, which can be further reshaped to ``ndata * nclass`` matrix. The result contains predicted probability of each data point belonging to each class.
   - ``rank:pairwise``: Use LambdaMART to perform pairwise ranking where the pairwise loss is minimized
@@ -399,6 +399,8 @@ Specify the learning task and the corresponding learning objective. The objectiv
     - ``tweedie-nloglik``: negative log-likelihood for Tweedie regression (at a specified value of the ``tweedie_variance_power`` parameter)
     - ``aft-nloglik``: Negative log likelihood of Accelerated Failure Time model.
       See :doc:`/tutorials/aft_survival_analysis` for details.
+    - ``interval-regression-accuracy``: Fraction of data points whose predicted labels fall in the interval-censored labels.
+      Only applicable for interval-censored data.  See :doc:`/tutorials/aft_survival_analysis` for details.
 
 * ``seed`` [default=0]