activity
20182026
most citedDeep learning algorithms for solving high dimensional nonlinear backward stochastic differential equations

10 citations · 22 across the 6 of their papers we have counts for

collaborators

7 papers

q-fin.CP2026

On the Pricing of American Options under Stochastic Local Volatility and Stochastic Correlation via the RBSDE Framework

Long Teng

In this work, we study the pricing of American options under stochastic local volatility (SLV) models extended by including stochastic correlation driven by an additional stochasti…

math.NA2021

Gradient boosting-based numerical methods for high-dimensional backward stochastic differential equations

Long Teng

In this work we propose a new algorithm for solving high-dimensional backward stochastic differential equations (BSDEs). Based on the general theta-discretization for the time-inte…

math.NA2020

High-order combined Multi-step Scheme for solving forward Backward Stochastic Differential Equations

Long Teng, Weidong Zhao

In this work, in order to obtain higher-order schemes for solving forward backward stochastic differential equations, we adopt the high-order multi-step method in [W. Zhao, Y. Fu a…

math.NA2020★ 10 cited

Deep learning algorithms for solving high dimensional nonlinear backward stochastic differential equations

Lorenc Kapllani, Long Teng

In this work, we propose a new deep learning-based scheme for solving high dimensional nonlinear backward stochastic differential equations (BSDEs). The idea is to reformulate the…

cs.DC2019★ 5 cited

Multistep schemes for solving backward stochastic differential equations on GPU

Lorenc Kapllani, Long Teng

The goal of this work is to parallelize the multistep scheme for the numerical approximation of the backward stochastic differential equations (BSDEs) in order to achieve both, a h…

math.NA2018★ 2 cited

A Multi-step Scheme based on Cubic Spline for solving Backward Stochastic Differential Equations

Long Teng, Aleksandr Lapitckii, Michael Günther

In this work we study a multi-step scheme on time-space grids proposed by W. Zhao et al. [28] for solving backward stochastic differential equations, where Lagrange interpolating p…

math.NA2018★ 5 cited

A Review of Tree-based Approaches to solve Forward-Backward Stochastic Differential Equations

Long Teng

In this work, we study solving (decoupled) forward-backward stochastic differential equations (FBSDEs) numerically using the regression trees. Based on the general theta-discretiza…