Machine Learning Approximation Algorithms for High-Dimensional Fully Nonlinear Partial Differential Equations and Second-order Backward Stochastic Differential Equations
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Machine Learning Approximation Algorithms for High-Dimensional Fully Nonlinear Partial Differential Equations and Second-order Backward Stochastic Differential Equations
Authors
Keywords
Deep learning, Second-order backward stochastic differential equation, 2BSDE, Numerical method, Black–Scholes–Barenblatt equation, Knightian uncertainty, Hamiltonian–Jacobi–Bellman equation, HJB equation, Nonlinear expectation, <em class="EmphasisTypeItalic ">G</em>-Brownian motion
Journal
JOURNAL OF NONLINEAR SCIENCE
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-01-09
DOI
10.1007/s00332-018-9525-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Solving the quantum many-body problem with artificial neural networks
- (2017) Giuseppe Carleo et al. SCIENCE
- Numerical simulation of quadratic BSDEs
- (2016) Jean-François Chassagneux et al. ANNALS OF APPLIED PROBABILITY
- Numerical Fourier method and second-order Taylor scheme for backward SDEs in finance
- (2016) M.J. Ruijter et al. APPLIED NUMERICAL MATHEMATICS
- Approximation of backward stochastic differential equations using Malliavin weights and least-squares regression
- (2016) Emmanuel Gobet et al. BERNOULLI
- Efficient numerical Fourier methods for coupled forward–backward SDEs
- (2016) T.P. Huijskens et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- Stratified Regression Monte-Carlo Scheme for Semilinear PDEs and BSDEs with Large Scale Parallelization on GPUs
- (2016) E. Gobet et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
- Simulation of BSDEs with jumps by Wiener Chaos expansion
- (2016) Christel Geiss et al. STOCHASTIC PROCESSES AND THEIR APPLICATIONS
- Time discretization of FBSDE with polynomial growth drivers and reaction–diffusion PDEs
- (2015) Arnaud Lionnet et al. ANNALS OF APPLIED PROBABILITY
- A monotone scheme for high-dimensional fully nonlinear PDEs
- (2015) Wenjie Guo et al. ANNALS OF APPLIED PROBABILITY
- Probabilistic High Order Numerical Schemes for Fully Nonlinear Parabolic PDEs
- (2015) Tao Kong et al. Communications in Computational Physics
- Homogenization and Asymptotics for Small Transaction Costs: The Multidimensional Case
- (2015) Dylan Possamaï et al. COMMUNICATIONS IN PARTIAL DIFFERENTIAL EQUATIONS
- A PRIMAL-DUAL ALGORITHM FOR BSDES
- (2015) Christian Bender et al. MATHEMATICAL FINANCE
- TRADING WITH SMALL PRICE IMPACT
- (2015) Ludovic Moreau et al. MATHEMATICAL FINANCE
- Linear regression MDP scheme for discrete backward stochastic differential equations under general conditions
- (2015) Emmanuel Gobet et al. MATHEMATICS OF COMPUTATION
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Learning solutions to partial differential equations using LS-SVM
- (2015) Siamak Mehrkanoon et al. NEUROCOMPUTING
- Numerical Stability Analysis of the Euler Scheme for BSDEs
- (2015) Jean-François Chassagneux et al. SIAM JOURNAL ON NUMERICAL ANALYSIS
- A Fourier Cosine Method for an Efficient Computation of Solutions to BSDEs
- (2015) M. J. Ruijter et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
- Simulation of BSDEs by Wiener chaos expansion
- (2014) Philippe Briand et al. ANNALS OF APPLIED PROBABILITY
- Runge–Kutta schemes for backward stochastic differential equations
- (2014) Jean-François Chassagneux et al. ANNALS OF APPLIED PROBABILITY
- Second order discretization of backward SDEs and simulation with the cubature method
- (2014) Dan Crisan et al. ANNALS OF APPLIED PROBABILITY
- Linear Multistep Schemes for BSDEs
- (2014) Jean-François Chassagneux SIAM JOURNAL ON NUMERICAL ANALYSIS
- A Sparse-Grid Method for Multi-Dimensional Backward Stochastic Differential Equations
- (2013) Guannan Zhang et al. JOURNAL OF COMPUTATIONAL MATHEMATICS
- A numerical algorithm for a class of BSDEs via the branching process
- (2013) Pierre Henry-Labordère et al. STOCHASTIC PROCESSES AND THEIR APPLICATIONS
- A review of numerical methods for nonlinear partial differential equations
- (2012) Eitan Tadmor BULLETIN OF THE AMERICAN MATHEMATICAL SOCIETY
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- (2012) Geoffrey Hinton et al. IEEE SIGNAL PROCESSING MAGAZINE
- Solving Backward Stochastic Differential Equations Using the Cubature Method: Application to Nonlinear Pricing
- (2012) D. Crisan et al. SIAM Journal on Financial Mathematics
- A probabilistic numerical method for fully nonlinear parabolic PDEs
- (2011) Arash Fahim et al. ANNALS OF APPLIED PROBABILITY
- Probabilistic methods for semilinear partial differential equations. Applications to finance
- (2010) Dan Crisan et al. ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE
- Monte Carlo solution of Cauchy problem for a nonlinear parabolic equation
- (2010) A. Rasulov et al. MATHEMATICS AND COMPUTERS IN SIMULATION
- Solving BSDE with Adaptive Control Variate
- (2010) Emmanuel Gobet et al. SIAM JOURNAL ON NUMERICAL ANALYSIS
- On the Monte Carlo simulation of BSDEs: An improvement on the Malliavin weights
- (2010) D. Crisan et al. STOCHASTIC PROCESSES AND THEIR APPLICATIONS
- Numerical solution of Helmholtz equation by the modified Hopfield finite difference techniques
- (2008) Mehdi Dehghan et al. NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started