collaborators

7 papers

math.PR2025

Subtractive random forests with two choices

Francisco Calvillo, Luc Devroye, Gábor Lugosi

Recommendation systems are pivotal in aiding users amid vast online content. Broutin, Devroye, Lugosi, and Oliveira proposed Subtractive Random Forests (\textsc{surf}), a model tha…

math.ST2025

Learning latent tree models with small query complexity

Luc Devroye, Gabor Lugosi, Piotr Zwiernik

We consider the problem of structure recovery in a graphical model of a tree where some variables are latent. Specifically, we focus on the Gaussian case, which can be reformulated…

math.PR2025

On the size of temporal cliques in subcritical random temporal graphs

Caelan Atamanchuk, Luc Devroye, Gabor Lugosi

A \emph{random temporal graph} is an Erdős-Rényi random graph , together with a random ordering of its edges. A path in the graph is called \emph{increasing} if the edges…

stat.ML2025

Broadcasting in random recursive dags

Simon Briend, Luc Devroye, Gabor Lugosi

A uniform -{\sc dag} generalizes the uniform random recursive tree by picking parents uniformly at random from the existing nodes. It starts with ''roots''. Each of the…

math.PR2025

Uniform temporal trees

Caelan Atamanchuk, Luc Devroye, Gabor Lugosi

Motivated by the study of random temporal networks, we introduce a class of random trees that we coin \emph{uniform temporal trees}. A uniform temporal tree is obtained by assignin…

stat.ML2024

Online-to-PAC Conversions: Generalization Bounds via Regret Analysis

Gábor Lugosi, Gergely Neu

We present a new framework for deriving bounds on the generalization bound of statistical learning algorithms from the perspective of online learning. Specifically, we construct an…