diff --git a/docs/api_reference/faq_imports.rst b/docs/api_reference/faq_imports.rst
index 8495c7241..7ecdd08f9 100644
--- a/docs/api_reference/faq_imports.rst
+++ b/docs/api_reference/faq_imports.rst
@@ -9,11 +9,11 @@ Service Users
 If you write client code interacting with the OSS Vizier service, use
 these import targets:
 
--  **``from vizier.service import pyvizier as vz``**: Exposes the same
-   set of symbol names as ``vizier.pyvizier``.
-   ``vizier.service.pyvizier.Foo`` is a subclass or an alias of
-   ``vizier.pyvizier.Foo``, and can be converted into protobufs.
--  **``from vizier.service import ...``**: Include binaries and internal
+-  **from vizier.service import pyvizier as vz**: Exposes the same
+   set of symbol names as ``vizier.pyvizier``. ``vizier.service.pyvizier.Foo``
+   is a subclass or an alias of ``vizier.pyvizier.Foo``, and can be converted
+   into protobufs.
+-  **from vizier.service import ...**: Include binaries and internal
    utilities.
 
 Algorithm Developers
@@ -22,13 +22,13 @@ Algorithm Developers
 If you write algorithm code (Designers or Pythia policies) in OSS
 Vizier, use these import targets:
 
--  **``from vizier import pyvizier as vz``**: Pure python building
+-  **from vizier import pyvizier as vz**: Pure python building
    blocks of OSS Vizier. Cross-platform code, including Pythia policies,
    must use this ``pyvizier`` instance.
 
    -  ``Trial`` and ``ProblemStatement`` are important classes.
 
--  **``from vizier.pyvizier import converters``**: Convert between
+-  **from vizier.pyvizier import converters**: Convert between
    ``pyvizier`` objects and numpy arrays.
 
    -  ``TrialToNumpyDict``: Converts parameters (and metrics) into a
@@ -38,19 +38,20 @@ Vizier, use these import targets:
    -  ``TrialToArrayConverter``: Converts parameters (and metrics) into
       an array.
 
--  **``from vizier.interfaces import serializable``**
+-  **from vizier.interfaces import serializable**: Abstractions for
+   serializable objects.
 
    -  ``PartiallySerializable``, ``Serializable``
 
 Algorithm Abstractions
 ~~~~~~~~~~~~~~~~~~~~~~
 
--  **``from vizier import pythia``**
+-  **from vizier import pythia**: Abstractions for Pythia policies.
 
    -  ``Policy``, ``PolicySupporter``: Key abstractions.
    -  ``LocalPolicyRunner``: Use it for running a ``Policy`` in RAM.
 
--  **``from vizier import algorithms``**
+-  **from vizier import algorithms**: Abstractions for algorithms.
 
    -  ``Designer``: Stateful algorithm abstraction.
    -  ``DesignerPolicy``: Wraps ``Designer`` into a Pythia Policy.
@@ -61,13 +62,11 @@ Algorithm Abstractions
 Tensorflow Modules
 ~~~~~~~~~~~~~~~~~~
 
--  **``from vizier import tfp``**: Tensorflow-Probability utilities.
+-  **from vizier import tfp**: Tensorflow-Probability utilities.
 
    -  ``acquisitions``: Acquisition functions module.
-
       -  ``AcquisitionFunction``: Abstraction.
       -  ``UpperConfidenceBound``, ``ExpectedImprovement``, etc.
-
    -  ``bijectors``: Bijectors module.
 
       -  ``YeoJohnson``: Implements both Yeo-Johnson and Box-Cox
@@ -76,14 +75,14 @@ Tensorflow Modules
          transformation.
       -  ``flip_sign``: returns a sign-flip bijector.
 
--  **``from vizier import keras as vzk``**
+-  **from vizier import keras as vzk**:
 
    -  ``vzk.layers``: Layers usually wrapping ``tfp`` classes.
 
       -  ``variable_from_prior``: Utility layer for handling regularized
          variables.
 
-   -  ``vzk.optim``: Wrappers around optimizers in ``tfp``\ or
-      ``keras``.
    -  ``vzk.models``: Most of the useful models don’t easily fit into
-      Keras’ ``Model`` abstraction, but we may add some for display.
+      Keras's ``Model`` abstraction, but we may add some for display.
+   -  ``vzk.optim``: Wrappers around optimizers in ``tfp`` or
+      ``keras``.