activity
20032023
most citedReconstruction of the early Universe as a convex optimization problem

160 citations · 241 across the 28 of their papers we have counts for

collaborators

36 papers

q-fin.MF2023

Joint Calibration of Local Volatility Models with Stochastic Interest Rates using Semimartingale Optimal Transport

Benjamin Joseph, Gregoire Loeper, Jan Obloj

We develop and implement a non-parametric method for joint exact calibration of a local volatility model and a correlated stochastic short rate model using semimartingale optimal t…

q-fin.MF2023

Calibration of Local Volatility Models with Stochastic Interest Rates using Optimal Transport

Benjamin Joseph, Gregoire Loeper, Jan Obloj

We develop a non-parametric, semimartingale optimal transport, calibration methodology for local volatility models with stochastic interest rate. The method finds a fully calibrate…

q-fin.CP2022★ 1 cited

Differential learning methods for solving fully nonlinear PDEs

William Lefebvre, Grégoire Loeper, Huyên Pham

We propose machine learning methods for solving fully nonlinear partial differential equations (PDEs) with convex Hamiltonian. Our algorithms are conducted in two steps. First the…

stat.AP2021

Cleaning the covariance matrix of strongly nonstationary systems with time-independent eigenvalues

Christian Bongiorno, Damien Challet, Grégoire Loeper

We propose a data-driven way to reduce the noise of covariance matrices of nonstationary systems. In the case of stationary systems, asymptotic approaches were proved to converge t…

math.AP2021

On the convexity theory of generating functions

Gregoire Loeper, Neil S Trudinger

In this paper, we extend our convexity theory for cost functions in optimal transportation to more general generating functions, which were originally introduced by the secon…

q-fin.MF2021

Optimal transport for model calibration

Ivan Guo, Gregoire Loeper, Jan Obloj +1

We provide a survey of recent results on model calibration by Optimal Transport. We present the general framework and then discuss the calibration of local, and local-stochastic, v…