  Advice-efficient prediction with expert advice (in analogy to label-efficient
prediction) is a variant of prediction with expert advice game, where on each
round of the game we are allowed to ask for advice of a limited number $M$ out
of $N$ experts. This setting is especially interesting when asking for advice
of every expert on every round is expensive. We present an algorithm for
advice-efficient prediction with expert advice that achieves
$O(\sqrt{\frac{N}{M}T\ln N})$ regret on $T$ rounds of the game.
