activity
20172026
most citedThe Cramér-Rao inequality on singular statistical models I

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

math.FA2026

Azumaya descent and étale-local cyclotomic comparison: a noncommutative filtration

Hông Vân Lê, Alexander Zuevsky

Bhatt-Morrow-Scholze motivic filtration on topological Hochschild homology () is extended to Azumaya algebras over quasisyntomic rings. We prove the Azumaya descent theorem: $…

math.ST2026

Estimating conditional expectation

Hông Vân Lê

In this paper, we consider the problem of estimating conditional expectations as an ill-posed inverse problem. We propose a solution based on a generalization of Vapnik's theorem \…

math.ST2025

Batch learning equals online learning in Bayesian supervised learning

Hông Vân Lê

In this paper we study Bayesian supervised learning models proposed by Lê in \cite{Le2025}. Using functoriality of probabilistic morphisms, we prove that sequential and batch Bayes…

stat.ML2025

Categorical and geometric methods in statistical, manifold, and machine learning

Hông Vân Lê, Hà Quang Minh, Frederic Protin +1

We present and discuss applications of the category of probabilistic morphisms, initially developed in \cite{Le2023}, as well as some geometric methods to several classes of proble…

math.ST2025

Probabilistic morphisms and Bayesian supervised learning

Hông Vân Lê

In this paper, we develop category theory of Markov kernels to study categorical aspects of Bayesian inversions. As a result, we present a unified model for Bayesian supervised lea…

math.ST2017★ 1 cited

The Cramér-Rao inequality on singular statistical models I

Jürgen Jost, Hông Vân Lê, Lorenz Schwachhöfer

We introduce the notion of the essential tangent bundle of a parametrized measure model and the notion of reduced Fisher metric on a (possibly singular) 2-integrable measure model.…