diff --git a/docs/source/utilities.rst b/docs/source/utilities.rst
index a12030b86..5100376ca 100644
--- a/docs/source/utilities.rst
+++ b/docs/source/utilities.rst
@@ -40,6 +40,10 @@ log_density
 -----------
 .. autofunction:: numpyro.infer.util.log_density
 
+get_transforms
+--------------
+.. autofunction:: numpyro.infer.util.get_transforms
+
 transform_fn
 ------------
 .. autofunction:: numpyro.infer.util.transform_fn
@@ -48,6 +52,10 @@ constrain_fn
 ------------
 .. autofunction:: numpyro.infer.util.constrain_fn
 
+unconstrain_fn
+--------------
+.. autofunction:: numpyro.infer.util.unconstrain_fn
+
 potential_energy
 ----------------
 .. autofunction:: numpyro.infer.util.potential_energy
diff --git a/examples/annotation.py b/examples/annotation.py
index 263195ddb..bfb9b925b 100644
--- a/examples/annotation.py
+++ b/examples/annotation.py
@@ -320,7 +320,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Bayesian Models of Annotation")
     parser.add_argument("-n", "--num-samples", nargs="?", default=1000, type=int)
     parser.add_argument("--num-warmup", nargs="?", default=1000, type=int)
diff --git a/examples/ar2.py b/examples/ar2.py
index b9308bdcf..b9d24db2f 100644
--- a/examples/ar2.py
+++ b/examples/ar2.py
@@ -114,7 +114,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="AR2 example")
     parser.add_argument("--num-data", nargs="?", default=142, type=int)
     parser.add_argument("-n", "--num-samples", nargs="?", default=1000, type=int)
diff --git a/examples/baseball.py b/examples/baseball.py
index 66129bd71..a606fbc7f 100644
--- a/examples/baseball.py
+++ b/examples/baseball.py
@@ -210,7 +210,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Baseball batting average using MCMC")
     parser.add_argument("-n", "--num-samples", nargs="?", default=3000, type=int)
     parser.add_argument("--num-warmup", nargs="?", default=1500, type=int)
diff --git a/examples/bnn.py b/examples/bnn.py
index 5475614cf..9029f01e0 100644
--- a/examples/bnn.py
+++ b/examples/bnn.py
@@ -160,7 +160,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Bayesian neural network example")
     parser.add_argument("-n", "--num-samples", nargs="?", default=2000, type=int)
     parser.add_argument("--num-warmup", nargs="?", default=1000, type=int)
diff --git a/examples/covtype.py b/examples/covtype.py
index e80eb11ea..cc503fb5e 100644
--- a/examples/covtype.py
+++ b/examples/covtype.py
@@ -206,7 +206,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="parse args")
     parser.add_argument(
         "-n", "--num-samples", default=1000, type=int, help="number of samples"
diff --git a/examples/funnel.py b/examples/funnel.py
index b9c085e92..d63821fbb 100644
--- a/examples/funnel.py
+++ b/examples/funnel.py
@@ -139,7 +139,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(
         description="Non-centered reparameterization example"
     )
diff --git a/examples/gaussian_shells.py b/examples/gaussian_shells.py
index 08baa3029..6422f929b 100644
--- a/examples/gaussian_shells.py
+++ b/examples/gaussian_shells.py
@@ -120,7 +120,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Nested sampler for Gaussian shells")
     parser.add_argument("-n", "--num-samples", nargs="?", default=10000, type=int)
     parser.add_argument("--num-warmup", nargs="?", default=1000, type=int)
diff --git a/examples/gp.py b/examples/gp.py
index 96da78633..6a32d660f 100644
--- a/examples/gp.py
+++ b/examples/gp.py
@@ -170,7 +170,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Gaussian Process example")
     parser.add_argument("-n", "--num-samples", nargs="?", default=1000, type=int)
     parser.add_argument("--num-warmup", nargs="?", default=1000, type=int)
diff --git a/examples/hmm.py b/examples/hmm.py
index 77ea948fa..bbe05f100 100644
--- a/examples/hmm.py
+++ b/examples/hmm.py
@@ -263,7 +263,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Semi-supervised Hidden Markov Model")
     parser.add_argument("--num-categories", default=3, type=int)
     parser.add_argument("--num-words", default=10, type=int)
diff --git a/examples/holt_winters.py b/examples/holt_winters.py
index 99870f803..934b3ab55 100644
--- a/examples/holt_winters.py
+++ b/examples/holt_winters.py
@@ -180,7 +180,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Holt-Winters")
     parser.add_argument("--T", nargs="?", default=6, type=int)
     parser.add_argument("--future", nargs="?", default=1, type=int)
diff --git a/examples/horseshoe_regression.py b/examples/horseshoe_regression.py
index 34450e5a5..ea0695277 100644
--- a/examples/horseshoe_regression.py
+++ b/examples/horseshoe_regression.py
@@ -162,7 +162,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Horseshoe regression example")
     parser.add_argument("-n", "--num-samples", nargs="?", default=2000, type=int)
     parser.add_argument("--num-warmup", nargs="?", default=1000, type=int)
diff --git a/examples/minipyro.py b/examples/minipyro.py
index 1eebbdde4..b0d792082 100644
--- a/examples/minipyro.py
+++ b/examples/minipyro.py
@@ -58,7 +58,7 @@ def body_fn(i, val):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Mini Pyro demo")
     parser.add_argument("-f", "--full-pyro", action="store_true", default=False)
     parser.add_argument("-n", "--num-steps", default=1001, type=int)
diff --git a/examples/mortality.py b/examples/mortality.py
index 30989c354..c357aa0fd 100644
--- a/examples/mortality.py
+++ b/examples/mortality.py
@@ -220,7 +220,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
 
     parser = argparse.ArgumentParser(description="Mortality regression model")
     parser.add_argument("-n", "--num-samples", nargs="?", default=500, type=int)
diff --git a/examples/neutra.py b/examples/neutra.py
index d00b5b307..5e14446e4 100644
--- a/examples/neutra.py
+++ b/examples/neutra.py
@@ -197,7 +197,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="NeuTra HMC")
     parser.add_argument("-n", "--num-samples", nargs="?", default=4000, type=int)
     parser.add_argument("--num-warmup", nargs="?", default=1000, type=int)
diff --git a/examples/ode.py b/examples/ode.py
index c86ef654e..54558143d 100644
--- a/examples/ode.py
+++ b/examples/ode.py
@@ -117,7 +117,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Predator-Prey Model")
     parser.add_argument("-n", "--num-samples", nargs="?", default=1000, type=int)
     parser.add_argument("--num-warmup", nargs="?", default=1000, type=int)
diff --git a/examples/prodlda.py b/examples/prodlda.py
index 4b35edd96..6e51a61c1 100644
--- a/examples/prodlda.py
+++ b/examples/prodlda.py
@@ -314,7 +314,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(
         description="Probabilistic topic modelling with Flax and Haiku"
     )
diff --git a/examples/proportion_test.py b/examples/proportion_test.py
index 24ba73ad4..bd429c455 100644
--- a/examples/proportion_test.py
+++ b/examples/proportion_test.py
@@ -160,7 +160,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Testing whether  ")
     parser.add_argument("-n", "--num-samples", nargs="?", default=500, type=int)
     parser.add_argument("--num-warmup", nargs="?", default=1500, type=int)
diff --git a/examples/sparse_regression.py b/examples/sparse_regression.py
index 788d8a73d..00840336b 100644
--- a/examples/sparse_regression.py
+++ b/examples/sparse_regression.py
@@ -384,7 +384,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Gaussian Process example")
     parser.add_argument("-n", "--num-samples", nargs="?", default=1000, type=int)
     parser.add_argument("--num-warmup", nargs="?", default=500, type=int)
diff --git a/examples/stochastic_volatility.py b/examples/stochastic_volatility.py
index 5226a170a..eeb824df4 100644
--- a/examples/stochastic_volatility.py
+++ b/examples/stochastic_volatility.py
@@ -122,7 +122,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Stochastic Volatility Model")
     parser.add_argument("-n", "--num-samples", nargs="?", default=600, type=int)
     parser.add_argument("--num-warmup", nargs="?", default=600, type=int)
diff --git a/examples/thompson_sampling.py b/examples/thompson_sampling.py
index 0c7ff9874..42691593e 100644
--- a/examples/thompson_sampling.py
+++ b/examples/thompson_sampling.py
@@ -292,7 +292,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Thompson sampling example")
     parser.add_argument(
         "--num-random", nargs="?", default=2, type=int, help="number of random draws"
diff --git a/examples/toy_mixture_model_discrete_enumeration.py b/examples/toy_mixture_model_discrete_enumeration.py
index 22109bcc7..7d3b0e76c 100644
--- a/examples/toy_mixture_model_discrete_enumeration.py
+++ b/examples/toy_mixture_model_discrete_enumeration.py
@@ -126,7 +126,7 @@ def get_true_pred_CPDs(CPD, posterior_param):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="Toy mixture model")
     parser.add_argument("-n", "--num-steps", default=4000, type=int)
     parser.add_argument("-o", "--num-obs", default=10000, type=int)
diff --git a/examples/ucbadmit.py b/examples/ucbadmit.py
index c3b9dd63c..ec6ac0fda 100644
--- a/examples/ucbadmit.py
+++ b/examples/ucbadmit.py
@@ -151,7 +151,7 @@ def main(args):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(
         description="UCBadmit gender discrimination using HMC"
     )
diff --git a/examples/vae.py b/examples/vae.py
index 5a96c225e..3e52a295b 100644
--- a/examples/vae.py
+++ b/examples/vae.py
@@ -160,7 +160,7 @@ def reconstruct_img(epoch, rng_key):
 
 
 if __name__ == "__main__":
-    assert numpyro.__version__.startswith("0.11.0")
+    assert numpyro.__version__.startswith("0.12.0")
     parser = argparse.ArgumentParser(description="parse args")
     parser.add_argument(
         "-n", "--num-epochs", default=15, type=int, help="number of training epochs"
diff --git a/notebooks/source/bad_posterior_geometry.ipynb b/notebooks/source/bad_posterior_geometry.ipynb
index 8ae5f2f25..acefa0e2f 100644
--- a/notebooks/source/bad_posterior_geometry.ipynb
+++ b/notebooks/source/bad_posterior_geometry.ipynb
@@ -50,7 +50,7 @@
     "\n",
     "from numpyro.infer import MCMC, NUTS\n",
     "\n",
-    "assert numpyro.__version__.startswith(\"0.11.0\")\n",
+    "assert numpyro.__version__.startswith(\"0.12.0\")\n",
     "\n",
     "# NB: replace cpu by gpu to run this notebook on gpu\n",
     "numpyro.set_platform(\"cpu\")"
diff --git a/notebooks/source/bayesian_hierarchical_linear_regression.ipynb b/notebooks/source/bayesian_hierarchical_linear_regression.ipynb
index 9eacb64f0..4567f000c 100644
--- a/notebooks/source/bayesian_hierarchical_linear_regression.ipynb
+++ b/notebooks/source/bayesian_hierarchical_linear_regression.ipynb
@@ -245,7 +245,7 @@
     "import numpyro.distributions as dist\n",
     "from jax import random\n",
     "\n",
-    "assert numpyro.__version__.startswith(\"0.11.0\")"
+    "assert numpyro.__version__.startswith(\"0.12.0\")"
    ]
   },
   {
diff --git a/notebooks/source/bayesian_hierarchical_stacking.ipynb b/notebooks/source/bayesian_hierarchical_stacking.ipynb
index 02587799b..53753d33b 100644
--- a/notebooks/source/bayesian_hierarchical_stacking.ipynb
+++ b/notebooks/source/bayesian_hierarchical_stacking.ipynb
@@ -96,7 +96,7 @@
     "    set_matplotlib_formats(\"svg\")\n",
     "\n",
     "numpyro.set_host_device_count(4)\n",
-    "assert numpyro.__version__.startswith(\"0.11.0\")"
+    "assert numpyro.__version__.startswith(\"0.12.0\")"
    ]
   },
   {
diff --git a/notebooks/source/bayesian_imputation.ipynb b/notebooks/source/bayesian_imputation.ipynb
index b83aac38a..c6801cbcb 100644
--- a/notebooks/source/bayesian_imputation.ipynb
+++ b/notebooks/source/bayesian_imputation.ipynb
@@ -55,7 +55,7 @@
     "if \"NUMPYRO_SPHINXBUILD\" in os.environ:\n",
     "    set_matplotlib_formats(\"svg\")\n",
     "\n",
-    "assert numpyro.__version__.startswith(\"0.11.0\")"
+    "assert numpyro.__version__.startswith(\"0.12.0\")"
    ]
   },
   {
diff --git a/notebooks/source/bayesian_regression.ipynb b/notebooks/source/bayesian_regression.ipynb
index 9d3e67ff0..4e8f5e961 100644
--- a/notebooks/source/bayesian_regression.ipynb
+++ b/notebooks/source/bayesian_regression.ipynb
@@ -95,7 +95,7 @@
     "if \"NUMPYRO_SPHINXBUILD\" in os.environ:\n",
     "    set_matplotlib_formats(\"svg\")\n",
     "\n",
-    "assert numpyro.__version__.startswith(\"0.11.0\")"
+    "assert numpyro.__version__.startswith(\"0.12.0\")"
    ],
    "execution_count": 2,
    "outputs": []
diff --git a/notebooks/source/gmm.ipynb b/notebooks/source/gmm.ipynb
index 5a99e0a1f..11c733634 100644
--- a/notebooks/source/gmm.ipynb
+++ b/notebooks/source/gmm.ipynb
@@ -54,7 +54,7 @@
     "%matplotlib inline\n",
     "\n",
     "smoke_test = \"CI\" in os.environ\n",
-    "assert numpyro.__version__.startswith(\"0.11.0\")"
+    "assert numpyro.__version__.startswith(\"0.12.0\")"
    ]
   },
   {
diff --git a/notebooks/source/logistic_regression.ipynb b/notebooks/source/logistic_regression.ipynb
index 074e3848a..d19fbf889 100644
--- a/notebooks/source/logistic_regression.ipynb
+++ b/notebooks/source/logistic_regression.ipynb
@@ -41,7 +41,7 @@
     "from numpyro.examples.datasets import COVTYPE, load_dataset\n",
     "from numpyro.infer import HMC, MCMC, NUTS\n",
     "\n",
-    "assert numpyro.__version__.startswith(\"0.11.0\")\n",
+    "assert numpyro.__version__.startswith(\"0.12.0\")\n",
     "\n",
     "# NB: replace gpu by cpu to run this notebook in cpu\n",
     "numpyro.set_platform(\"gpu\")"
diff --git a/notebooks/source/model_rendering.ipynb b/notebooks/source/model_rendering.ipynb
index 1637ad8f4..498ab03fb 100644
--- a/notebooks/source/model_rendering.ipynb
+++ b/notebooks/source/model_rendering.ipynb
@@ -37,7 +37,7 @@
     "import numpyro.distributions as dist\n",
     "import numpyro.distributions.constraints as constraints\n",
     "\n",
-    "assert numpyro.__version__.startswith(\"0.11.0\")"
+    "assert numpyro.__version__.startswith(\"0.12.0\")"
    ]
   },
   {
diff --git a/notebooks/source/ordinal_regression.ipynb b/notebooks/source/ordinal_regression.ipynb
index 36f1e52d3..e234b0ce1 100644
--- a/notebooks/source/ordinal_regression.ipynb
+++ b/notebooks/source/ordinal_regression.ipynb
@@ -53,7 +53,7 @@
     "import pandas as pd\n",
     "import seaborn as sns\n",
     "\n",
-    "assert numpyro.__version__.startswith(\"0.11.0\")"
+    "assert numpyro.__version__.startswith(\"0.12.0\")"
    ]
   },
   {
diff --git a/notebooks/source/time_series_forecasting.ipynb b/notebooks/source/time_series_forecasting.ipynb
index be654f046..4b74a5c87 100644
--- a/notebooks/source/time_series_forecasting.ipynb
+++ b/notebooks/source/time_series_forecasting.ipynb
@@ -48,7 +48,7 @@
     "    set_matplotlib_formats(\"svg\")\n",
     "\n",
     "numpyro.set_host_device_count(4)\n",
-    "assert numpyro.__version__.startswith(\"0.11.0\")"
+    "assert numpyro.__version__.startswith(\"0.12.0\")"
    ]
   },
   {
diff --git a/numpyro/infer/mcmc.py b/numpyro/infer/mcmc.py
index 93502a977..082b51460 100644
--- a/numpyro/infer/mcmc.py
+++ b/numpyro/infer/mcmc.py
@@ -206,11 +206,11 @@ class MCMC(object):
         correctly. If you are using Jupyter Notebook or Jupyter Lab, please also install the
         corresponding extension package like `widgetsnbextension` or `jupyterlab_widgets`.
 
-    ..note:: If your dataset is large and you have access to multiple acceleration devices,
+    .. note:: If your dataset is large and you have access to multiple acceleration devices,
         you can distribute the computation across multiple devices. Make sure that your jax version
         is v0.4.4 or newer. For example,
 
-        .. code-block::python
+        .. code-block:: python
 
             import jax
             from jax.experimental import mesh_utils
diff --git a/numpyro/version.py b/numpyro/version.py
index b8a3c1c88..7f27ac2ac 100644
--- a/numpyro/version.py
+++ b/numpyro/version.py
@@ -1,4 +1,4 @@
 # Copyright Contributors to the Pyro project.
 # SPDX-License-Identifier: Apache-2.0
 
-__version__ = "0.11.0"
+__version__ = "0.12.0"