1 citations · 1 across the 3 of their papers we have counts for
4 papers
Graphical Modeling from Marginal Information via Optimal Transport
Ulysse Naepels, Paul Freulon, Victor M. Panaretos
A graphical model represents multivariate interactions through conditional independence, but requires jointly observed samples to be fitted to data. When individuals cannot be trac…
Network Learning with Semi-relaxed Gromov-Wasserstein
Charles Dufour, Ulysse Naepels, Leonardo V. Santoro
Estimating the generative mechanism of large-scale networks is a fundamental challenge in statistical machine learning. It requires the identification of the latent connectivity st…
Inference for Functional Data under Markov Constraints
Ulysse Naepels, Victor M. Panaretos
Smoothness has long been the dominant form of parsimony in functional data analysis, to the point of occasionally being conflated with the very notion of functional data. However,…
Solving irreducible stochastic mean-payoff games and entropy games by relative Krasnoselskii-Mann iteration
Marianne Akian, Stéphane Gaubert, Ulysse Naepels +1
We analyse an algorithm solving stochastic mean-payoff games, combining the ideas of relative value iteration and of Krasnoselskii-Mann damping. We derive parameterized complexity…