Sven Wang

13 papers A* 2Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Global polynomial-time estimation in statistical nonlinear inverse problems via generalized stability.
CoRR
Sven Wang
2024 J jnl
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective.
J. Mach. Learn. Res.
Youssef M. Marzouk, Zhi (Robert) Ren, Sven Wang, Jakob Zech
2024 J jnl
Infinite-Dimensional Diffusion Models.
J. Mach. Learn. Res.
Jakiw Pidstrigach, Youssef Marzouk, Sebastian Reich, Sven Wang
2024 A* conf
Manipulation-Robust Selection of Citizens' Assemblies.
AAAI
Bailey Flanigan, Jennifer Liang, Ariel D. Procaccia, Sven Wang
2024 J jnl
Statistical Learning Theory for Neural Operators.
CoRR
Niklas Reinhardt, Sven Wang, Jakob Zech
2024 J jnl
Statistical algorithms for low-frequency diffusion data: A PDE approach.
CoRR
Matteo Giordano, Sven Wang
2023 A* conf
Distortion Under Public-Spirited Voting.
EC
Bailey Flanigan, Ariel D. Procaccia, Sven Wang
2023 J jnl
Distortion Under Public-Spirited Voting.
CoRR
Bailey Flanigan, Ariel D. Procaccia, Sven Wang
2023 J jnl
Distribution learning via neural differential equations: a nonparametric statistical perspective.
CoRR
Youssef M. Marzouk, Zhi Ren, Sven Wang, Jakob Zech
2023 J jnl
Infinite-Dimensional Diffusion Models for Function Spaces.
CoRR
Jakiw Pidstrigach, Youssef M. Marzouk, Sebastian Reich, Sven Wang
2022 J jnl
On free energy barriers in Gaussian priors and failure of MCMC for high-dimensional unimodal distributions.
CoRR
Afonso S. Bandeira, Antoine Maillard, Richard Nickl, Sven Wang
2020 J jnl
Convergence Rates for Penalized Least Squares Estimators in PDE Constrained Regression Problems.
SIAM/ASA J. Uncertain. Quantification
Richard Nickl, Sara A. van de Geer, Sven Wang
2020 J jnl
On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms.
CoRR
Richard Nickl, Sven Wang