diff --git a/gtsam/linear/HessianFactor.cpp b/gtsam/linear/HessianFactor.cpp
index 29b2b8591..428fb6cde 100644
--- a/gtsam/linear/HessianFactor.cpp
+++ b/gtsam/linear/HessianFactor.cpp
@@ -486,7 +486,7 @@ boost::shared_ptr<GaussianConditional> HessianFactor::eliminateCholesky(const Or
 
     // Erase the eliminated keys in this factor
     keys_.erase(begin(), begin() + nFrontals);
-  } catch (const CholeskyFailed& e) {
+  } catch (const CholeskyFailed&) {
     throw IndeterminantLinearSystemException(keys.front());
   }
 
diff --git a/gtsam/nonlinear/LevenbergMarquardtOptimizer.cpp b/gtsam/nonlinear/LevenbergMarquardtOptimizer.cpp
index 5f29c3bdf..b9579661d 100644
--- a/gtsam/nonlinear/LevenbergMarquardtOptimizer.cpp
+++ b/gtsam/nonlinear/LevenbergMarquardtOptimizer.cpp
@@ -148,7 +148,7 @@ bool LevenbergMarquardtOptimizer::tryLambda(const GaussianFactorGraph& linear,
     // ============ Solve is where most computation happens !! =================
     delta = solve(dampedSystem, params_);
     systemSolvedSuccessfully = true;
-  } catch (const IndeterminantLinearSystemException& e) {
+  } catch (const IndeterminantLinearSystemException&) {
     systemSolvedSuccessfully = false;
   }
 
diff --git a/gtsam/nonlinear/internal/LevenbergMarquardtState.h b/gtsam/nonlinear/internal/LevenbergMarquardtState.h
index bd5465dda..8ab2e7466 100644
--- a/gtsam/nonlinear/internal/LevenbergMarquardtState.h
+++ b/gtsam/nonlinear/internal/LevenbergMarquardtState.h
@@ -147,7 +147,7 @@ struct LevenbergMarquardtState : public NonlinearOptimizerState {
         CachedModel* item = getCachedModel(dim);
         item->A.diagonal() = sqrtHessianDiagonal.at(key);  // use diag(hessian)
         damped += boost::make_shared<JacobianFactor>(key, item->A, item->b, item->model);
-      } catch (const std::out_of_range& e) {
+      } catch (const std::out_of_range&) {
         continue;  // Don't attempt any damping if no key found in diagonal
       }
     }