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Sven Wang
Sven Wang
Assistant Professor, Humboldt University Berlin
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Convergence rates for penalized least squares estimators in PDE constrained regression problems
R Nickl, S van de Geer, S Wang
SIAM/ASA Journal on Uncertainty Quantification 8 (1), 374-413, 2020
602020
On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms
R Nickl, S Wang
Journal of the European Mathematical Society, 2022
382022
On minimax density estimation via measure transport
S Wang, Y Marzouk
arXiv preprint arXiv:2207.10231, 2022
162022
Infinite-Dimensional Diffusion Models
J Pidstrigach, Y Marzouk, S Reich, S Wang
arXiv preprint arXiv:2302.10130, 2023
152023
Laplace priors and spatial inhomogeneity in Bayesian inverse problems
S Agapiou, S Wang
Bernoulli 30 (2), 878-910, 2024
102024
On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions
AS Bandeira, A Maillard, R Nickl, S Wang
Philosophical Transactions of the Royal Society A 381 (2247), 20220150, 2023
102023
Distribution learning via neural differential equations: a nonparametric statistical perspective
Y Marzouk, Z Ren, S Wang, J Zech
arXiv preprint arXiv:2309.01043, 2023
92023
Distortion under public-spirited voting
B Flanigan, AD Procaccia, S Wang
arXiv preprint arXiv:2305.11736, 2023
72023
Manipulation-robust selection of citizens’ assemblies
B Flanigan, J Liang, AD Procaccia, S Wang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 9696-9703, 2024
52024
The nonparametric LAN expansion for discretely observed diffusions
S Wang
32019
Wasserstein-based Minimax Estimation of Dependence in Multivariate Regularly Varying Extremes
X Zhang, J Blanchet, Y Marzouk, VA Nguyen, S Wang
arXiv preprint arXiv:2312.09862, 2023
12023
Distributionally Robust Gaussian Process Regression and Bayesian Inverse Problems
X Zhang, J Blanchet, Y Marzouk, VA Nguyen, S Wang
arXiv preprint arXiv:2205.13111, 2022
12022
Statistical algorithms for low-frequency diffusion data: A PDE approach
M Giordano, S Wang
arXiv preprint arXiv:2405.01372, 2024
2024
Statistical inference and computation in elliptic PDE models
S Wang
2021
On polynomial-time mixing of MCMC for high-dimensional posterior distributions
S Wang
European Meeting of Statisticians 2023 Warsaw 3–7 July, 2023 Book of …, 0
Toward Accounting for Stakes in Voting
B Flanigan, AD Procaccia, S Wang
Polynomial-time guarantees for Bayesian computation in PDE models
S Wang
2022 Spring Western Sectional Meeting, 0
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Articles 1–17