Abstract Approximate message passing (AMP) algorithms have become an important element of high-dimensional statistical inference, mostly due to their adaptability and concentration properties, the state evolution (SE) equations. This is demonstrated by growing number new iterations proposed for increasingly complex problems, ranging from multi-layer inference low-rank matrix estimation with ela...

A procedure for detecting outliers in regression problems is proposed. It is based on information provided by boosting regression trees. The key idea is to select the most frequently resampled observation along the boosting iterations and reiterate after removing it. The selection criterion is based on Tchebychev’s inequality applied to the maximum over the boosting iterations of ...

In this paper, research is done to examine the usefulness of ’iterations’ in generated referring expressions (that is, using multiple sentences to form a referring expression (with and/or without feedback from the hearer) as an expression instead of one long sentence, without any pause or breaks). Two experiments have been done, one to examine how humans use referring expressions and the second...