activity
20142026
most citedThe mean field Schrödinger problem: ergodic behavior, entropy estimates and functional inequalities

4 citations · 14 across the 12 of their papers we have counts for

collaborators

13 papers

math.OC2026

Analytical Approach to Continuous-Time Causal Optimal Transport

Julio Backhoff, Erhan Bayraktar, Ibrahim Ekren +1

We study causal optimal transport in continuous time, with Markovian cost, between a finite-state Markov source and a diffusion target. By replacing the source with its conditional…

math.PR2026

Bridging classical and martingale Schrödinger bridges

Julio Backhoff, Mathias Beiglböck, Giorgia Bifronte +1

We investigate the martingale Schrödinger bridge, recently introduced by Nutz and Wiesel as a distinguished martingale transport plan between two probability measures in convex ord…

math.OC2026

Reciprocal Specific Relative Entropy between Continuous Martingales

Julio Backhoff, Xin Zhang

We introduce a novel notion of divergence between continuous martingales; the reciprocal specific relative entropy. First, we motivate this definition from multiple perspectives. T…

math.PR2025

Exciting games and Monge-Ampère equations

Julio Backhoff, Zhizhang Wang, Xin Zhang

We consider a competition between players, and aim to identify the "most exciting game'' of this kind. This is translated, mathematically, into a stochastic optimization prob…

math.PR2024

Multidimensional specific relative entropy between continuous martingales

Julio Backhoff, Edoardo Kimani Bellotto

In continuous time, the laws of martingales tend to be singular to each other. Notably, N. Gantert introduced the concept of specific relative entropy between real-valued continuou…

math.PR2024

Geometric Martingale Benamou-Brenier transport and geometric Bass martingales

Julio Backhoff, Gregoire Loeper, Jan Obloj

We introduce and study geometric Bass martingales. Bass martingales were introduced in \cite{Ba83} and studied recently in a series of works, including \cite{BaBeHuKa20,BaBeScTs23}…

stat.ML2023

The geometry of financial institutions -- Wasserstein clustering of financial data

Lorenz Riess, Mathias Beiglböck, Johannes Temme +2

The increasing availability of granular and big data on various objects of interest has made it necessary to develop methods for condensing this information into a representative a…

math.OC2022★ 2 cited

Stochastic Gradient Descent for Barycenters in Wasserstein Space

Julio Backhoff-Veraguas, Joaquin Fontbona, Gonzalo Rios +1

We present and study a novel algorithm for the computation of 2-Wasserstein population barycenters of absolutely continuous probability measures on Euclidean space. The proposed me…

math.PR2020

Estimating processes in adapted Wasserstein distance

Julio Backhoff, Daniel Bartl, Mathias Beiglböck +1

A number of researchers have independently introduced topologies on the set of laws of stochastic processes that extend the usual weak topology. Depending on the respective scienti…

math.PR2019★ 4 cited

The mean field Schrödinger problem: ergodic behavior, entropy estimates and functional inequalities

Julio Backhoff-Veraguas, Giovani Conforti, Ivan Gentil +1

We study the mean field Schrödinger problem (MFSP), that is the problem of finding the most likely evolution of a cloud of interacting Brownian particles conditionally on the obser…

math.OC2016★ 3 cited

Causal transport in discrete time and applications

Julio Backhoff Veraguas, Mathias Beiglböck, Yiqing Lin +1

Loosely speaking, causal transport plans are a relaxation of adapted processes in the same sense as Kantorovich transport plans extend Monge-type transport maps. The corresponding…

q-fin.MF2014★ 2 cited

Conditional Analysis and a Principal-Agent problem

Julio Backhoff, Ulrich Horst

We analyze conditional optimization problems arising in discrete time Principal-Agent problems of delegated portfolio optimization with linear contracts. Applying tools from Condit…

math.OC2014★ 3 cited

Some sensitivity results in stochastic optimal control: A Lagrange multiplier point of view

Julio Backhoff, Francisco Silva

In this work we provide a first order sensitivity analysis of some parameterized stochastic optimal control problems. The parameters can be given by random processes. The main tool…