| 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 | 54 | 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 | 30 | 2022 |
| On minimax density estimation via measure transport S Wang, Y Marzouk arXiv preprint arXiv:2207.10231, 2022 | 15 | 2022 |
| Infinite-dimensional diffusion models for function spaces J Pidstrigach, Y Marzouk, S Reich, S Wang arXiv e-prints, arXiv: 2302.10130, 2023 | 12 | 2023 |
| Laplace priors and spatial inhomogeneity in Bayesian inverse problems S Agapiou, S Wang Bernoulli 30 (2), 878-910, 2024 | 8 | 2024 |
| Distribution learning via neural differential equations: a nonparametric statistical perspective Y Marzouk, Z Ren, S Wang, J Zech arXiv preprint arXiv:2309.01043, 2023 | 6 | 2023 |
| 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 | 6 | 2023 |
| Distortion under public-spirited voting B Flanigan, AD Procaccia, S Wang arXiv preprint arXiv:2305.11736, 2023 | 5 | 2023 |
| The nonparametric LAN expansion for discretely observed diffusions S Wang | 2 | 2019 |
| 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 | 1 | 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| Infinite-Dimensional Diffusion Models J Pidstrigach, Y Marzouk, S Reich, S Wang arXiv preprint arXiv:2302.10130, 2023 | | 2023 |
| 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 | | |
Youssef MarzoukProfessor, Massachusetts Institute of TechnologyVerified email at mit.edu
