activity
20122021
most citedOn a problem of optimal transport under marginal martingale constraints

158 citations · 209 across the 10 of their papers we have counts for

collaborators

14 papers

math.AP2021

On absolutely continuous curves in the Wasserstein space over R and their representation by an optimal Markov process

Charles Boubel, Nicolas Juillet

Let = (t)tR be a 1-parameter family of probability measures on R. In [11] we introduced its ``Markov-quantile''process: a process X= (Xt)tR that resembles as much…

math.OC2021

Instability of Martingale optimal transport in dimension d 2

Martin Brückerhoff, Nicolas Juillet

Stability of the value function and the set of minimizers w.r.t. the given data is a desirable feature of optimal transport problems. For the classical Kantorovich transport proble…

math.PR2020★ 7 cited

Shadow martingales -- a stochastic mass transport approach to the peacock problem

Martin Brückerhoff, Martin Huesmann, Nicolas Juillet

Given a family of real probability measures increasing in convex order (a peacock) we describe a systematic method to create a martingale exactly fitting the marg…

math.DG2020★ 1 cited

SubRiemanniann structures do not satisify Riemannian Brunn--Minkowski inequalities

Nicolas Juillet

We prove that no Brunn--Minkowski inequality from the Riemannian theories of curvature-dimension and optimal transportation can by satisfied by a strictly subRiemannian structure.…

math.PR2019

A Coupling Proof of Convex Ordering for Compound Distributions

Jean Bérard, Nicolas Juillet

In this paper, we give an alternative proof of the fact that, when compounding a nonnegative probability distribution, convex ordering between the distributions of the number of su…

math.PR2019★ 4 cited

On a solution to the Monge transport problem on the real line arising from the strictly concave case

Nicolas Juillet

It is well-known that the optimal transport problem on the real line for the classical distance cost may not have a unique solution. In this paper we recover uniqueness by consider…

math.PR2018★ 30 cited

On A Mixture Of Brenier and Strassen Theorems

Nathael Gozlan, Nicolas Juillet

We give a characterization of optimal transport plans for a variant of the usual quadratic transport cost introduced in [33]. Optimal plans are composition of a deterministic trans…

math.PR2018

The Markov-quantile process attached to a family of Marginals

Charles Boubel, Nicolas Juillet

Let = (t)tR be any 1-parameter family of probability measures on R. Its quantile process (Gt)tR : ]0, 1[ RR, given by Gt() = inf{x R : t(…

math.PR2018

Couplings in distance of two Brownian motions and their L{é}vy area

Michel Bonnefont, Nicolas Juillet

We study co-adapted couplings of (canonical hypoelliptic) diffu-sions on the (subRiemannian) Heisenberg group, that we call (Heisenberg) Brow-nian motions and are the joint laws of…

math.PR2016★ 1 cited

Shadow couplings

Mathias Beiglboeck, Nicolas Juillet

A classical result of Strassen asserts that given probabilities on the real line which are in convex order, there exists a \emph{martingale coupling} with these marginals, i…

math.MG2016★ 8 cited

Pliability, or the whitney extension theorem for curves in carnot groups

Nicolas Juillet, Mario Sigalotti

The Whitney extension theorem is a classical result in analysis giving a necessary and sufficient condition for a function defined on a closed set to be extendable to the whole spa…

math.DG2016

Smoothing and non-smoothing via a flow tangent to the Ricci flow

Matthias Erbar, Nicolas Juillet

We study a transformation of metric measure spaces introduced by Gigli and Mantegazza consisting in replacing the original distance with the length distance induced by the transpor…

math.PR2014

Stability of the shadow projection and the left-curtain coupling

Nicolas Juillet

The (left-)curtain coupling, introduced by Beiglböck and the author is an extreme element of the set of "martingale" couplings between two real probability measures in convex order…

math.PR2012★ 158 cited

On a problem of optimal transport under marginal martingale constraints

Mathias Beiglböck, Nicolas Juillet

The basic problem of optimal transportation consists in minimizing the expected costs by varying the joint distribution where the marginal dis…