collaborators

9 papers

math.PR2026

Sharp Wasserstein Convergence Rates for Empirical Path Laws of Itô Processes

Xihao He, Fengyi Yuan

We establish the sharp logarithmic order for the expected -Wasserstein distance, induced by the supremum norm, between the empirical law of independent cop…

math.OC2026

Quantitative Particle Approximation for Controlled Nonlinear Filtering

Erhan Bayraktar, Ibrahim Ekren, Xihao He +1

We estimate convergence rates of value functions for particle approximations of a controlled nonlinear filtering problem. The state is a McKean--Vlasov diffusion on the flat torus,…

math.AP2026

A comparison principle for Wasserstein PDEs with state- and law-dependent common noise

Erhan Bayraktar, Ibrahim Ekren, Xihao He +1

We prove a comparison principle for a class of second-order Hamilton--Jacobi--Bellman equations on the Wasserstein space whose second-order term is generated by a general common-no…

math.PR2026

Mean-field games with rough common noise: the compactification approach

Erhan Bayraktar, Xihao He, Xiang Yu +1

We study mean-field game (MFG) problems with rough common noise, in which the representative state dynamics are governed by a controlled rough stochastic differential equation driv…

math.PR2026

Comparison of viscosity solutions for a class of non-linear PDEs on the space of finite nonnegative measures

Ibrahim Ekren, Xihao He, Tianxu Lan +1

We establish a comparison principle for viscosity solutions of a class of nonlinear partial differential equations posed on the space of nonnegative finite measures, thereby extend…

math.PR2026

Graphon particle systems with common noise

Erhan Bayraktar, Xihao He, Donghan Kim

We study a nonlinear graphon particle system driven by both idiosyncratic and common noise, where interactions are governed by a graphon and represented as positive finite measures…