16 citations · 20 across the 7 of their papers we have counts for
7 papers
Deepest voting on rankings
Jean-Baptiste Aubin, Antoine Rolland, Ioana Gavra +2
This article aims to present a unified framework for ranking-based voting rules based on the use of depth functions on permutations, as a counterpart of deepest voting rules on eva…
Optimal Transport-Based Clustering of Attributed Graphs with an Application to Road Traffic Data
Ioana Gavra, Ketsia Guichard-Sustowski, Loïc Le Marrec
In many real-world contexts, such as social or transport networks, data exhibit both structural connectivity and node-level attributes. For example, roads in a transport network ca…
Parametric Lie group structures on the probabilistic simplex and generalized Compositional Data
Petre Birtea, Ioana Gavra
In this paper we build a set of parametric quotient Lie group structures on the probabilistic simplex that can be extended to real vector space structures. In particular, we redisc…
Asymptotic study of stochastic adaptive algorithm in non-convex landscape
Sébastien Gadat, Ioana Gavra
This paper studies some asymptotic properties of adaptive algorithms widely used in optimization and machine learning, and among them Adagrad and Rmsprop, which are involved in mos…
Online Barycenter Estimation of Large Weighted Graphs
Ioana Gavra, Laurent Risser
In this paper, we propose a new method to compute the barycenter of large weighted graphs endowed with probability measures on their nodes. We suppose that the edge weights are dis…
Convergence rate of a simulated annealing algorithm with noisy observations
Clément Bouttier, Ioana Gavra
In this paper we propose a modified version of the simulated annealing algorithm for solving a stochastic global optimization problem. More precisely, we address the problem of fin…
How to compute the barycenter of a weighted graph
Sébastien Gadat, Ioana Gavra, Laurent Risser
Discrete structures like graphs make it possible to naturally and flexibly model complex phenomena. Since graphs that represent various types of information are increasingly availa…