collaborators

5 papers

cs.HC2026

The Capturing and Logging Ecological Virtual Experiences and Reality (CLEVER) - Job Simulator Dataset

Qidi J. Wang, Xiaozheng Wang, Akhilesh M. Anand +3

Virtual reality (VR) motion tracking and interaction data has become increasingly recognized as valuable for machine learning experiments for a variety of purposes, including predi…

q-fin.CP2026

The Martingale Sinkhorn Algorithm

Manuel Hasenbichler, Benjamin Joseph, Gregoire Loeper +2

We develop a numerical method for the martingale analogue of the Benamou--Brenier optimal transport problem, which seeks a martingale interpolating two prescribed marginals which i…

math.PR2025

Sensitivity of causal distributionally robust optimization

Yifan Jiang, Jan Obloj

We study the causal distributionally robust optimization (DRO) in both discrete- and continuous- time settings. The framework captures model uncertainty, with potential models pena…

q-fin.MF2025

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…

cs.LG2025

Wasserstein distributional adversarial training for deep neural networks

Xingjian Bai, Guangyi He, Yifan Jiang +1

Design of adversarial attacks for deep neural networks, as well as methods of adversarial training against them, are subject of intense research. In this paper, we propose methods…