Probabilistic reasoning and learning with permutation data has gained interest in recent
years because its use in different ranking-based real-world applications. Therefore …

In the context of pseudo-Boolean optimization, surrogate functions based on the Walsh-
Hadamard transform have been recently proposed with great success. It has been shown …

Permutations are among the richest objects in enumerative combinatorics [107]. They
appear in a vast range of domains, from physics to psychology, principally, because of their …

Statistical analysis of rank data describing preferences over small and variable subsets of a
potentially large ensemble of items 1,..., n is a very challenging problem. It is motivated by a …

Incomplete rankings on a set of items $\{1,\;\ldots,\; n\} $ are orderings of the form $ a_
{1}\prec\dots\prec a_ {k} $, with $\{a_ {1},\dots a_ {k}\}\subset\{1,\dots, n\} $ and $ k< n …

In the context of pseudo-Boolean optimization, surrogate functions based on the Walsh-
Hadamard transform have been recently proposed with great success. It has been shown …

Though the statistical analysis of ranking data has been a subject of interest over the past
centuries, especially in economics, psychology or social choice theory, it has been …

This thesis introduces a multiresolution analysis framework for ranking data. Initiated in the
18th century in the context of elections, the analysis of ranking data has attracted a major …

Statistical analysis of rank data describing preferences over small and variable subsets of a
potentially large ensemble of items {1,..., n} is a very challenging problem. It is motivated by …