On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms. - Richard Nickl; Sven Wang (CoRR, 2020)

Convergence Rates for Penalized Least Squares Estimators in PDE Constrained Regression Problems. - Richard Nickl; Sara A. van de Geer; Sven Wang (SIAM/ASA J. Uncertain. Quantification, 2020)

On free energy barriers in Gaussian priors and failure of MCMC for high-dimensional unimodal distributions. - Afonso S. Bandeira; Antoine Maillard; Richard Nickl; Sven Wang (CoRR, 2022)

Distortion Under Public-Spirited Voting. - Bailey Flanigan; Ariel D. Procaccia; Sven Wang (EC, 2023)

Infinite-Dimensional Diffusion Models for Function Spaces. - Jakiw Pidstrigach; Youssef M. Marzouk; Sebastian Reich; Sven Wang (CoRR, 2023)

Manipulation-Robust Selection of Citizens' Assemblies. - Bailey Flanigan; Jennifer Liang; Ariel D. Procaccia; Sven Wang (AAAI, 2024)

Statistical algorithms for low-frequency diffusion data: A PDE approach. - Matteo Giordano; Sven Wang (CoRR, 2024)

Statistical Learning Theory for Neural Operators. - Niklas Reinhardt; Sven Wang; Jakob Zech (CoRR, 2024)

Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective. - Youssef M. Marzouk; Zhi (Robert) Ren; Sven Wang; Jakob Zech (J. Mach. Learn. Res., 2024)