diff --git a/sklearn/svm/_bounds.py b/sklearn/svm/_bounds.py
index f89b6a77fc616..83cb72d30892c 100644
--- a/sklearn/svm/_bounds.py
+++ b/sklearn/svm/_bounds.py
@@ -2,13 +2,25 @@
 # Author: Paolo Losi
 # License: BSD 3 clause
 
+from numbers import Real
+
 import numpy as np
 
 from ..preprocessing import LabelBinarizer
 from ..utils.validation import check_consistent_length, check_array
 from ..utils.extmath import safe_sparse_dot
+from ..utils._param_validation import StrOptions, Interval, validate_params
 
 
+@validate_params(
+    {
+        "X": ["array-like", "sparse matrix"],
+        "y": ["array-like"],
+        "loss": [StrOptions({"squared_hinge", "log"})],
+        "fit_intercept": ["boolean"],
+        "intercept_scaling": [Interval(Real, 0, None, closed="neither")],
+    }
+)
 def l1_min_c(X, y, *, loss="squared_hinge", fit_intercept=True, intercept_scaling=1.0):
     """Return the lowest bound for C.
 
@@ -49,8 +61,6 @@ def l1_min_c(X, y, *, loss="squared_hinge", fit_intercept=True, intercept_scalin
     l1_min_c : float
         Minimum value for C.
     """
-    if loss not in ("squared_hinge", "log"):
-        raise ValueError('loss type not in ("squared_hinge", "log")')
 
     X = check_array(X, accept_sparse="csc")
     check_consistent_length(X, y)
diff --git a/sklearn/svm/tests/test_bounds.py b/sklearn/svm/tests/test_bounds.py
index 5ca0f12b5d7f0..23d6be2f44e98 100644
--- a/sklearn/svm/tests/test_bounds.py
+++ b/sklearn/svm/tests/test_bounds.py
@@ -35,13 +35,6 @@ def test_l1_min_c(loss, X_label, Y_label, intercept_label):
     check_l1_min_c(X, Y, loss, **intercept_params)
 
 
-def test_l1_min_c_l2_loss():
-    # loss='l2' should raise ValueError
-    msg = "loss type not in"
-    with pytest.raises(ValueError, match=msg):
-        l1_min_c(dense_X, Y1, loss="l2")
-
-
 def check_l1_min_c(X, y, loss, fit_intercept=True, intercept_scaling=1.0):
     min_c = l1_min_c(
         X,
@@ -76,11 +69,6 @@ def test_ill_posed_min_c():
         l1_min_c(X, y)
 
 
-def test_unsupported_loss():
-    with pytest.raises(ValueError):
-        l1_min_c(dense_X, Y1, loss="l1")
-
-
 _MAX_UNSIGNED_INT = 4294967295
 
 
diff --git a/sklearn/tests/test_public_functions.py b/sklearn/tests/test_public_functions.py
index d4e645c052dab..6ea4f5ce73f67 100644
--- a/sklearn/tests/test_public_functions.py
+++ b/sklearn/tests/test_public_functions.py
@@ -10,6 +10,7 @@
 
 PARAM_VALIDATION_FUNCTION_LIST = [
     "sklearn.cluster.kmeans_plusplus",
+    "sklearn.svm.l1_min_c",
 ]