| 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 | 72 | 2020 |
| On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms R Nickl, S Wang Journal of the European Mathematical Society, 2022 | 47 | 2022 |
| Infinite-Dimensional Diffusion Models J Pidstrigach, Y Marzouk, S Reich, S Wang arXiv preprint arXiv:2302.10130, 2023 | 22 | 2023 |
| On minimax density estimation via measure transport S Wang, Y Marzouk arXiv preprint arXiv:2207.10231, 2022 | 21 | 2022 |
| Distribution learning via neural differential equations: a nonparametric statistical perspective Y Marzouk, ZR Ren, S Wang, J Zech Journal of Machine Learning Research 25 (232), 1-61, 2024 | 15 | 2024 |
| 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 | 15 | 2023 |
| Laplace priors and spatial inhomogeneity in Bayesian inverse problems S Agapiou, S Wang Bernoulli 30 (2), 878-910, 2024 | 13 | 2024 |
| Distortion under public-spirited voting B Flanigan, AD Procaccia, S Wang arXiv preprint arXiv:2305.11736, 2023 | 9 | 2023 |
| 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 | 7 | 2024 |
| 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 | 3 | 2023 |
| The nonparametric LAN expansion for discretely observed diffusions S Wang | 3 | 2019 |
| 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 | 2 | 2022 |
| Statistical algorithms for low-frequency diffusion data: A PDE approach M Giordano, S Wang arXiv preprint arXiv:2405.01372, 2024 | 1 | 2024 |
| Statistical Learning Theory for Neural Operators N Reinhardt, S Wang, J Zech arXiv preprint arXiv:2412.17582, 2024 | | 2024 |
| Infinite-Dimensional Diffusion Models J Pidstrigach, Y Marzouk, S Reich, S Wang Journal of Machine Learning Research 25 (414), 1-52, 2024 | | 2024 |
| Statistical inference and computation in elliptic PDE models S Wang | | 2021 |
| Voters with Stakes Can Ward Off Bad Candidates B FLANIGAN, A PROCACCIA, S WANG | | |
| 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 | | |
Youssef MarzoukProfessor, Massachusetts Institute of Technologyبريد إلكتروني تم التحقق منه على mit.edu
