We show that there do not exist adaptive confidence bands for curve
estimation except under very restrictive assumptions. We propose
instead to construct adaptive bands that cover a surrogate function

which is close to, but simpler than,

. The surrogate captures
the significant features in

. We establish lower bounds on the width
for any confidence band for

and construct a procedure that comes
within a small constant factor of attaining the lower bound for finite-samples.