Emmanuel Gobet

Orcid: 0000-0002-9940-2493

Affiliations:
  • École Polytechnique, Paris, France


According to our database1, Emmanuel Gobet authored at least 31 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Estimation of extreme quantiles from heavy-tailed distributions with neural networks.
Stat. Comput., February, 2024

2022
Newton Method for Stochastic Control Problems.
SIAM J. Control. Optim., October, 2022

A Comparative Study of Polynomial-Type Chaos Expansions for Indicator Functions.
SIAM/ASA J. Uncertain. Quantification, 2022

EV-GAN: Simulation of extreme events with ReLU neural networks.
J. Mach. Learn. Res., 2022

A generative model for fBm with deep ReLU neural networks.
J. Complex., 2022

2020
Metamodel of a Large Credit Risk Portfolio in the Gaussian Copula Model.
SIAM J. Financial Math., 2020

Multilevel Monte Carlo methods and lower-upper bounds in initial margin computations.
Monte Carlo Methods Appl., 2020

Uncertainty Quantification for Stochastic Approximation Limits Using Chaos Expansion.
SIAM/ASA J. Uncertain. Quantification, 2020

Orlicz Random Fourier Features.
J. Mach. Learn. Res., 2020

2019
Quantitative bounds for concentration-of-measure inequalities and empirical regression: The independent case.
J. Complex., 2019

2018
A Nonintrusive Stratified Resampler for Regression Monte Carlo: Application to Solving Nonlinear Equations.
SIAM J. Numer. Anal., 2018

Study of new rare event simulation schemes and their application to extreme scenario generation.
Math. Comput. Simul., 2018

2017
MCMC design-based non-parametric regression for rare event. Application to nested risk computations.
Monte Carlo Methods Appl., 2017

Finite variance unbiased estimation of stochastic differential equations.
Proceedings of the 2017 Winter Simulation Conference, 2017

2016
Stratified Regression Monte-Carlo Scheme for Semilinear PDEs and BSDEs with Large Scale Parallelization on GPUs.
SIAM J. Sci. Comput., 2016

Linear regression MDP scheme for discrete backward stochastic differential equations under general conditions.
Math. Comput., 2016

Empirical Regression Method for Backward Doubly Stochastic Differential Equations.
SIAM/ASA J. Uncertain. Quantification, 2016

2015
Rare Event Simulation Using Reversible Shaking Transformations.
SIAM J. Sci. Comput., 2015

Analytical Approximations of BSDEs with Nonsmooth Driver.
SIAM J. Financial Math., 2015

2014
Stochastic Approximation Finite Element Method: Analytical Formulas for Multidimensional Diffusion Process.
SIAM J. Numer. Anal., 2014

A correction note to "Discrete time hedging errors for options with irregular payoffs".
Finance Stochastics, 2014

2013
Preliminary control variates to improve empirical regression methods.
Monte Carlo Methods Appl., 2013

2010
Solving BSDE with Adaptive Control Variate.
SIAM J. Numer. Anal., 2010

Time Dependent Heston Model.
SIAM J. Financial Math., 2010

2009
Smart expansion and fast calibration for jump diffusions.
Finance Stochastics, 2009

2006
Discretization and Simulation of the Zakai Equation.
SIAM J. Numer. Anal., 2006

2005
Sequential Control Variates for Functionals of Markov Processes.
SIAM J. Numer. Anal., 2005

Sensitivity Analysis Using It[o-circumflex]--Malliavin Calculus and Martingales, and Application to Stochastic Optimal Control.
SIAM J. Control. Optim., 2005

2004
A spectral Monte Carlo method for the Poisson equation.
Monte Carlo Methods Appl., 2004

2001
Efficient schemes for the weak approximation of reflected diffusions.
Monte Carlo Methods Appl., 2001

Discrete time hedging errors for options with irregular payoffs.
Finance Stochastics, 2001


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