diff --git a/doc/changes/0.5.rst b/doc/changes/0.5.rst
index e3c2481a..7de49a7d 100644
--- a/doc/changes/0.5.rst
+++ b/doc/changes/0.5.rst
@@ -2,9 +2,9 @@
 
 Version 0.5 (in progress)
 -------------------------
-- Add support for fitting an intercept in :ref:`SqrtLasso <skglm.experimental.sqrt_lasso.SqrtLasso>` (PR: :gh:`298`)
-- Add experimental :ref:`QuantileHuber <skglm.experimental.quantile_huber.QuantileHuber>` and :ref:`SmoothQuantileRegressor <skglm.experimental.quantile_huber.SmoothQuantileRegressor>` for quantile regression, and an example script (PR: :gh:`312`).
-- Add :ref:`GeneralizedLinearEstimatorCV <skglm.cv.GeneralizedLinearEstimatorCV>` for cross-validation with automatic parameter selection for L1 and elastic-net penalties (PR: :gh:`299`)
-- Add :class:`skglm.datafits.group.PoissonGroup` datafit for group-structured Poisson regression. (PR: :gh:`317`)
-- Add :ref:`GraphicalLasso <skglm.covariance.GraphicalLasso>` for sparse inverse covariance estimation with both primal and dual algorithms
-- Add :ref:`AdaptiveGraphicalLasso <skglm.covariance.AdaptiveGraphicalLasso>` for non-convex penalty variations using iterative reweighting strategy
+- Add support for fitting an intercept in :ref:`SqrtLasso <skglm.experimental.SqrtLasso>` (PR: :gh:`298`)
+- Add experimental :ref:`QuantileHuber <skglm.experimental.QuantileHuber>` and :ref:`SmoothQuantileRegressor <skglm.experimental.SmoothQuantileRegressor>` for quantile regression (PR: :gh:`312`).
+- Add :ref:`GeneralizedLinearEstimatorCV <skglm.GeneralizedLinearEstimatorCV>` for cross-validation with automatic parameter selection for L1 and elastic-net penalties (PR: :gh:`299`)
+- Add :ref:`PoissonGroup <skglm.datafits.PoissonGroup>` datafit for group-structured Poisson regression (PR: :gh:`317`)
+- Add :ref:`GraphicalLasso <skglm.GraphicalLasso>` for sparse inverse covariance estimation with both primal and dual algorithms (PR: :gh:`280`)
+- Add :ref:`AdaptiveGraphicalLasso <skglm.AdaptiveGraphicalLasso>` for non-convex penalty variations using iterative reweighting strategy (PR: :gh:`280`)