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