diff --git a/Project.toml b/Project.toml
index 79b79d7..7c96e84 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,6 +1,6 @@
 name = "InfiniteLinearAlgebra"
 uuid = "cde9dba0-b1de-11e9-2c62-0bab9446c55c"
-version = "0.10"
+version = "0.10.1"
 
 [deps]
 ArrayLayouts = "4c555306-a7a7-4459-81d9-ec55ddd5c99a"
@@ -26,7 +26,7 @@ FillArrays = "1.0"
 InfiniteArrays = "0.15"
 InfiniteRandomArrays = "0.2"
 Infinities = "0.1"
-LazyArrays = "2.6"
+LazyArrays = "2.7"
 LazyBandedMatrices = "0.11"
 LinearAlgebra = "1"
 MatrixFactorizations = "3.0"
diff --git a/src/InfiniteLinearAlgebra.jl b/src/InfiniteLinearAlgebra.jl
index dc168e1..9c3a8ca 100644
--- a/src/InfiniteLinearAlgebra.jl
+++ b/src/InfiniteLinearAlgebra.jl
@@ -8,7 +8,7 @@ import Base: *, +, -, /, \, ^, AbstractArray, AbstractMatrix, AbstractVector, Ar
              axes, copy, copymutable, copyto!, getindex, getproperty, inv,
              length, map, oneto, promote_op, require_one_based_indexing, show,
              similar, size, transpose, adjoint, copymutable, transpose,
-             adjoint, copymutable, transpose
+             adjoint, copymutable, transpose, tail
 
 import Base.Broadcast: BroadcastStyle, Broadcasted, broadcasted
 
@@ -114,8 +114,15 @@ function chop(A::AbstractMatrix{T}, tol::Real=zero(real(T))) where T
     return A
 end
 
-pad(c::AbstractVector{T}, ax::Union{OneTo,OneToInf}) where T = [c; Zeros{T}(length(ax)-length(c))]
-pad(c, ax...) = PaddedArray(c, ax)
+pad(c::AbstractVector{T}, ax::Union{OneTo,OneToInf}) where T = Vcat(c, Zeros{T}(length(ax)-length(c)))
+pad(c::AbstractVector{T}, n::Int) where T = Vcat(c, Zeros{T}(n-length(c)))
+
+_colon2axes(::Tuple{}, bx::Tuple{}) = ()
+_colon2axes(ax::Tuple, bx::Tuple{Colon, Vararg{Any}}) = (first(ax), _colon2axes(tail(ax), tail(bx))...)
+_colon2axes(ax::Tuple, bx::Tuple{Union{Integer,Infinity}, Vararg{Any}}) = (oneto(first(bx)), _colon2axes(tail(ax), tail(bx))...)
+_colon2axes(ax::Tuple, bx::Tuple) = (first(bx), _colon2axes(tail(ax), tail(bx))...)
+pad(c, ax...) = PaddedArray(c, _colon2axes(axes(c), ax))
+pad(c, ax::Colon...) = c
 
 pad(c::Transpose, ax, bx) = transpose(pad(parent(c), bx, ax))
 pad(c::Adjoint, ax, bx) = adjoint(pad(parent(c), bx, ax))
diff --git a/test/runtests.jl b/test/runtests.jl
index df60a8e..39fb11f 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -38,9 +38,14 @@ end
 
     @test pad(1:3, 5) == [1:3; 0; 0]
     @test pad(1:3, oneto(∞)) isa Vcat
+    @test pad(1:3, :) ≡ 1:3
     X = Matrix(reshape(1:6, 3, 2))
-    P = pad(X, oneto(3), oneto(∞))
-    @test P isa PaddedArray
+    # TODO: replace ≈ with ==
+    @test pad(X, oneto(3), ∞) ≈ pad(X, oneto(3), oneto(∞)) ≈ pad(X, 3, oneto(∞)) ≈ pad(X, 3, ∞) ≈ pad(X, :, ∞)
+    @test pad(X, oneto(3), oneto(∞)) isa PaddedArray
+    @test pad(X, :, oneto(∞)) isa PaddedArray
+    @test pad(X, :, :) isa Matrix
+    @test pad(X, oneto(10), :) isa PaddedArray
     P = pad(BlockVec(X), blockedrange(Fill(3,∞)))
     @test P isa BlockVec
     @test MemoryLayout(P) isa PaddedColumns