Description
Decisions are based on past experience but they are applied to future cases. In this talk, we shall
study fundamental links between risk and complexity in data-driven decision-making. In particular, we present
a new theory to rigorously judge the probability that a decision based on experience will under-perform in new
situations. The generality of this approach makes it useful across a variety of fields, including control, finance and
medical applications and examples will be provided to highlight its versatility.
Az előadás nyilvános, minden érdeklődőt szeretettel várunk.
Részvételi szándékát kérjük a www.sztaki.hu/Kalman címen jelezni.