Tractable approximations for probabilistic models: the adaptive TAP mean
We develop an advanced mean held method for approximating averages in probabilistic data models that is based on the Thouless-Anderson-Palmer (TAP) approach of disorder physics. In contrast to conventional TAP. where the knowledge of the distribution of couplings between the random variables is required. our method adapts to the concrete couplings. We demonstrate the validity of our approach, whic