diff --git a/src/deprecate.jl b/src/deprecate.jl
index 4d68717a0..6a0fd4efc 100644
--- a/src/deprecate.jl
+++ b/src/deprecate.jl
@@ -1 +1 @@
-@deprecate NelderMead(a::Real, g::Real, b::Real) NelderMead(parameters = FixedParameters(a, g, b, 0.5))
+@deprecate NelderMead(a::Real, g::Real, b::Real) NelderMead(initial_simplex = AffineSimplexer(), parameters = FixedParameters(a, g, b, 0.5))
diff --git a/src/nelder_mead.jl b/src/nelder_mead.jl
index a7d6bc40c..d52840609 100644
--- a/src/nelder_mead.jl
+++ b/src/nelder_mead.jl
@@ -43,7 +43,24 @@ immutable NelderMead{Ts <: Simplexer, Tp <: NMParameters} <: Optimizer
     parameters::Tp
 end
 
-NelderMead(; initial_simplex = AffineSimplexer(), parameters = AdaptiveParameters()) = NelderMead(initial_simplex, parameters)
+
+function NelderMead(; kwargs...)
+    KW = Dict(kwargs)
+    if haskey(KW, :a) || haskey(KW, :g) || haskey(KW, :b)
+        a, g, b = 1.0, 2.0, 0.5
+        haskey(KW, :a) && (a = KW[:a])
+        haskey(KW, :g) && (g = KW[:g])
+        haskey(KW, :b) && (b = KW[:b])
+        return NelderMead(a, g, b)
+    elseif haskey(KW, :initial_simplex) || haskey(KW, :parameters)
+        initial_simplex, parameters = AffineSimplexer(), AdaptiveParameters()
+        haskey(KW, :initial_simplex) && (initial_simplex = KW[:initial_simplex])
+        haskey(KW, :parameters) && (parameters = KW[:parameters])
+        return NelderMead(initial_simplex, parameters)
+    else
+        return NelderMead(AffineSimplexer(), AdaptiveParameters())
+    end
+end
 
 # centroid except h-th vertex
 function centroid!{T}(c::Array{T}, simplex, h=0)
diff --git a/test/nelder_mead.jl b/test/nelder_mead.jl
index 02cf01b25..13dd86e68 100644
--- a/test/nelder_mead.jl
+++ b/test/nelder_mead.jl
@@ -11,3 +11,14 @@ let
 		@assert norm(res.minimum - prob.solutions) < 1e-2
 	end
 end
+
+
+# Test that deprecated syntax runs
+let
+	dep_prob = Optim.UnconstrainedProblems.examples["Rosenbrock"]
+	optimize(dep_prob.f, dep_prob.initial_x, NelderMead(a = 1.0))
+	optimize(dep_prob.f, dep_prob.initial_x, NelderMead(g = 2.0))
+	optimize(dep_prob.f, dep_prob.initial_x, NelderMead(b = 0.5))
+	optimize(dep_prob.f, dep_prob.initial_x, NelderMead(initial_simplex = Optim.AffineSimplexer()))
+	optimize(dep_prob.f, dep_prob.initial_x, NelderMead(parameters = Optim.AdaptiveParameters()))
+end