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20172026
most citedVariational approach to rare event simulation using least-squares regression

22 citations · 27 across the 9 of their papers we have counts for

collaborators

10 papers

math.OC2026

Stochastic Optimal Control of Decoupled Reflected FBSDEs: A Variational Approach with Residual Reflection Terms

Hanane Ben-Gherbal, Omar Kebiri

This paper studies necessary optimality conditions for stochastic control problems governed by decoupled forward--backward stochastic differential equations with reflection constra…

math.OC2023

Relaxed Optimal Control Problem for a Finite Horizon G-SDE with Delay and Its Application in Economics

Omar Kebiri, Nabil Elgroud

This paper investigates the existence of a G-relaxed optimal control of a controlled stochastic differential delay equation driven by G-Brownian motion (G-SDDE in short). First, we…

math.PR2022★ 1 cited

Existence of relaxed optimal control for G-neutral stochastic functional differential equations with uncontrolled diffusion

Nabil Elgroud, Hacene Boutabia, Amel Redjil +1

In this paper, we study the question of existence and uniqueness of solution of neutral stochastic functional differential equations driven by G- Brownian motion (GNSFDEs in short)…

math.OC2021

The relaxed maximum principle for G-stochastic control systems with controlled jumps

Hanane Ben Gherbal, Amel Redjil, Omar Kebiri

This paper is concerned with optimal control of systems driven by G-stochastic differential equations (G-SDEs), with controlled jump term. We study the relaxed problem, in which ad…

q-fin.PR2021

-Hypergeometric Uncertain Volatility Models and their Connection to 2BSDEs

Zaineb Mezdoud, Carsten Hartmann, Mohamed Riad Remita +1

In this article we propose a -hypergeometric model with uncertain volatility (UV) where we derive a worst-case scenario for option pricing. The approach is based on the connexio…

math.OC2021

Model reduction and uncertainty quantification of multiscale diffusions with parameter uncertainties using nonlinear expectations

Hafida Bouanani, Carsten Hartmann, Omar Kebiri

In this paper we study model reduction of linear and bilinear quadratic stochastic control problems with parameter uncertainties. Specifically, we consider slow-fast systems with u…

math.PR2019★ 22 cited

Variational approach to rare event simulation using least-squares regression

Carsten Hartmann, Omar Kebiri, Lara Neureither +1

We propose an adaptive importance sampling scheme for the simulation of rare events when the underlying dynamics is given by a diffusion. The scheme is based on a Gibbs variational…

math.DS2018

Singularly perturbed forward-backward stochastic differential equations: application to the optimal control of bilinear systems

Omar Kebiri, Lara Neureither, Carsten Hartmann

We study linear-quadratic stochastic optimal control problems with bilinear state dependence for which the underlying stochastic differential equation (SDE) consists of slow and fa…

math.DS2018★ 2 cited

Adaptive importance sampling with forward-backward stochastic differential equations

Omar Kebiri, Lara Neureither, Carsten Hartmann

We describe an adaptive importance sampling algorithm for rare events that is based on a dual stochastic control formulation of a path sampling problem. Specifically, we focus on p…

math.OC2017★ 2 cited

Existence of an Optimal Control for a coupled FBSDE with a non degenerate diffusion coefficient

Khaled Bahlali, Omar Kebiri, Brahim Mezerdi +1

We a controlled system driven by a coupled forward-backward stochastic differential equation (FBSDE) with a non degenerate diffusion matrix. The cost functional is defined by the s…