28 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Laboratoire de Mathématiques Blaise PascalFR35 papers
- Laboratoire de Mathématiques et Modélisation d'ÉvryFR35 papers
- LAM FoundationUS14 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR11 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- École PolytechniqueFR10 papers
- Université d'Évry Val-d'EssonneFR9 papers
- National Research University Higher School of EconomicsRU6 papers
- Université Paris-SaclayFR6 papers
- École Nationale Supérieure d’Informatique pour l’Industrie et l’EntrepriseFR5 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR5 papers
- Chimie de la Matière Condensée de ParisFR4 papers
13 papers · 1 filter
Heat kernel of supercritical SDEs with unbounded drifts
Stéphane Menozzi, Zhang Xicheng
Let and . Consider the following SDE in :where is a $d…
A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm
Gersende Fort, Eric Moulines, Hoi-To Wai
The Expectation Maximization (EM) algorithm is of key importance for inference in latent variable models including mixture of regressors and experts, missing observations. This pap…
Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization
Gersende Fort, Eric Moulines, Hoi-To Wai
The Expectation Maximization (EM) algorithm is a key reference for inference in latent variable models; unfortunately, its computational cost is prohibitive in the large scale lear…
Schauder estimates for degenerate Lévy Ornstein-Ulhenbeck operators
Lorenzo Marino
We establish global Schauder estimates for integro-partial differential equations (IPDE) driven by a possibly degenerate Lévy Ornstein-Uhlenbeck operator, both in the elliptic and…
Synthesis of multilamellar walls vesicles polyelectrolyte-surfactant complexes from pH-stimulated phase transition using microbial biosurfactants
Chloé Seyrig, Patrick Le Griel, Nathan Cowieson +2
Multilamellar wall vesicles (MLWV) are an interesting class of polyelectrolyte-surfactant complexes (PESCs) for wide applications ranging from house-care to biomedical products. If…
On the partial regularity theory for the MHD equations
Diego Chamorro, Jiao He
We generalize here the celebrated Partial Regularity Theory of Caffarelli, Kohn and Nirenberg to the MHD equations in the framework of parabolic Morrey spaces. This type of parabol…
Fluctuations of a membrane nanotube covered with an actin sleeve
Antoine Allard, Fabrice Valentino, Cécile Sykes +2
Many biological functions rely on the reshaping of cell membranes, in particular into nanotubes, which are covered in vivo by dynamic actin networks. Nanotubes are subject to therm…
Unveiling the Interstitial Pressure Between Growing Ice Crystals During Ice-Templating Using a Lipid Lamellar Probe
Niki Baccile, Thomas Zinn, Guillaume Laurent +3
What is pressure generated by ice crystals during ice-templating? This work addresses this crucial question by estimating the pressure exerted by oriented ice columns on a supramol…
On the local regularity theory for the MHD equations
D. Chamorro, F. Cortez, Jiao He +1
Local regularity results are obtained for the MHD equations using as global framework the setting of parabolic Morrey spaces. Indeed, by assuming some local boundedness assumptions…
Discretization and Machine Learning Approximation of BSDEs with a Constraint on the Gains-Process
Idris Kharroubi, Thomas Lim, Xavier Warin
We study the approximation of backward stochastic differential equations (BSDEs for short) with a constraint on the gains process. We first discretize the constraint by applying a…
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise
Maxim Kaledin, Eric Moulines, Alexey Naumov +2
Linear two-timescale stochastic approximation (SA) scheme is an important class of algorithms which has become popular in reinforcement learning (RL), particularly for the policy e…
Rate of Estimation for the Stationary Distribution of Stochastic Damping Hamiltonian Systems with Continuous Observations
Sylvain Delattre, Arnaud Gloter, Nakahiro Yoshida
We study the problem of the non-parametric estimation for the density of the stationary distribution of a stochastic two-dimensional damping Hamiltonian system $(Z_t)_{t\in[0,T…
Invariant density adaptive estimation for ergodic jump diffusion processes over anisotropic classes
Chiara Amorino, Arnaud Gloter
We consider the solution X = (Xt) t0 of a multivariate stochastic differential equation with Levy-type jumps and with unique invariant probability measure with density . We…