  We propose a near-optimal method for highly smooth convex optimization. More
precisely, in the oracle model where one obtains the $p^{th}$ order Taylor
expansion of a function at the query point, we propose a method with rate of
convergence $\tilde{O}(1/k^{\frac{ 3p +1}{2}})$ after $k$ queries to the oracle
for any convex function whose $p^{th}$ order derivative is Lipschitz.
