4 citations · 7 across the 6 of their papers we have counts for
8 papers
The longest increasing subsequences of Luce permutations and permutons
Jacopo Borga, Victor Dubach
We investigate the longest increasing subsequences (LIS) of random permutations distributed under the Luce model with weights . Our first main r…
Limits of descent-biased trees
Victor Dubach, Paul Thévenin, Stephan Wagner
We investigate scaling and local limits of random trees biased according to their number of descents. A descent in a rooted labeled tree is a parent-child pair such that the la…
Large deviation principles for pattern-avoiding permutations, and limit shapes for constrained Mallows permutations
Thomas Budzinski, Victor Dubach, Valentin Féray +2
We study Mallows random permutations conditioned to avoid a given pattern of length~. When the bias parameter is of the form , we prove that these permutations conv…
Classical patterns in Mallows permutations
Victor Dubach
We study classical pattern counts in Mallows random permutations with parameters , as . We focus on three different regimes for the parameter . When $…
Binary search trees of permuton samples
Benoît Corsini, Victor Dubach, Valentin Féray
Binary search trees (BST) are a popular type of data structure when dealing with ordered data. Indeed, they enable one to access and modify data efficiently, with their height corr…
A geometric approach to conjugation-invariant random permutations
Victor Dubach
We propose a new approach to conjugation-invariant random permutations. Namely, we explain how to construct uniform permutations in given conjugacy classes from certain point proce…
Increasing subsequences of linear size in random permutations and the Robinson-Schensted tableaux of permutons
Victor Dubach
The study of longest increasing subsequences (LIS) in permutations led to that of Young diagrams via Robinson-Schensted's (RS) correspondence. In a celebrated paper, Vershik and Ke…
Locally uniform random permutations with large increasing subsequences
Victor Dubach
We investigate the maximal size of an increasing subset among points randomly sampled from certain probability densities. Kerov and Vershik's celebrated result states that the larg…