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2020 – today
- 2024
[j2]Youssef M. Marzouk, Zhi (Robert) Ren, Sven Wang, Jakob Zech:
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective. J. Mach. Learn. Res. 25: 232:1-232:61 (2024)- [c2]Bailey Flanigan, Jennifer Liang, Ariel D. Procaccia, Sven Wang:
Manipulation-Robust Selection of Citizens' Assemblies. AAAI 2024: 9696-9703 - [i6]Matteo Giordano, Sven Wang:
Statistical algorithms for low-frequency diffusion data: A PDE approach. CoRR abs/2405.01372 (2024) - 2023
- [c1]Bailey Flanigan
, Ariel D. Procaccia, Sven Wang:
Distortion Under Public-Spirited Voting. EC 2023: 700 - [i5]Jakiw Pidstrigach, Youssef M. Marzouk, Sebastian Reich, Sven Wang:
Infinite-Dimensional Diffusion Models for Function Spaces. CoRR abs/2302.10130 (2023) - [i4]Bailey Flanigan, Ariel D. Procaccia, Sven Wang:
Distortion Under Public-Spirited Voting. CoRR abs/2305.11736 (2023) - [i3]Youssef M. Marzouk, Zhi Ren, Sven Wang, Jakob Zech:
Distribution learning via neural differential equations: a nonparametric statistical perspective. CoRR abs/2309.01043 (2023) - 2022
- [i2]Afonso S. Bandeira, Antoine Maillard, Richard Nickl, Sven Wang:
On free energy barriers in Gaussian priors and failure of MCMC for high-dimensional unimodal distributions. CoRR abs/2209.02001 (2022) - 2020
- [j1]Richard Nickl, Sara A. van de Geer, Sven Wang:
Convergence Rates for Penalized Least Squares Estimators in PDE Constrained Regression Problems. SIAM/ASA J. Uncertain. Quantification 8(1): 374-413 (2020) - [i1]Richard Nickl, Sven Wang:
On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms. CoRR abs/2009.05298 (2020)
Coauthor Index
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