output
20062025
most citedIonic transport through a protein nanopore: a Coarse-Grained Molecular Dynamics Study

28 citations

Showing 2019Show all

5 papers · 1 filter

stat.ML2019★ 16 cited

On the Global Convergence of (Fast) Incremental Expectation Maximization Methods

Belhal Karimi, Hoi-To Wai, Eric Moulines +1

The EM algorithm is one of the most popular algorithm for inference in latent data models. The original formulation of the EM algorithm does not scale to large data set, because th…

stat.AP2019

Efficient Metropolis-Hastings Sampling for Nonlinear Mixed Effects Models

Belhal Karimi, Marc Lavielle

The ability to generate samples of the random effects from their conditional distributions is fundamental for inference in mixed effects models. Random walk Metropolis is widely us…

math.AP2019★ 5 cited

Existence of infinite-energy and discretely self-similar global weak solutions for 3D MHD equations

Pedro Gabriel Fernández-Dalgo, Oscar Jarrín

This paper deals with the existence of global weak solutions for 3D MHD equations when the initial data belong to the weighted spaces , with and $…

stat.ML2019★ 26 cited

Non-asymptotic Analysis of Biased Stochastic Approximation Scheme

Belhal Karimi, Blazej Miasojedow, Eric Moulines +1

Stochastic approximation (SA) is a key method used in statistical learning. Recently, its non-asymptotic convergence analysis has been considered in many papers. However, most of t…

math.AP2019★ 3 cited

Interpolation, extrapolation, Morrey spaces and local energy control for the Navier--Stokes equations

Pierre Gilles Lemarié-Rieusset

Barker recently proved new weak-strong uniqueness results for the Navier-Stokes equations based on a criterion involving Besov spaces and a proof through interpolation between Beso…