Youssef M. Marzouk

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Papers (23)

1. To discretize continually: Mean shift interacting particle systems for Bayesian inference stat.ML · 2026 · author #3
2. Exact affine conditioning beyond Gaussians: a unique characterization of the ensemble Kalman update math.ST · 2025 · author #2
3. A layered multiple importance sampling scheme for focused optimal Bayesian experimental design stat.CO · 2019 · author #2
4. Localization for MCMC: sampling high-dimensional posterior distributions with local structure stat.ME · 2017 · author #3
5. An approximate empirical Bayesian method for large-scale linear-Gaussian inverse problems math.NA · 2017 · author #4
6. Exploiting network topology for large-scale inference of nonlinear reaction models cs.CE · 2017 · author #2
7. High-Dimensional Stochastic Optimal Control using Continuous Tensor Decompositions cs.RO · 2016 · author #3
8. Bayesian inverse problems with $l_1$ priors: a Randomize-then-Optimize approach stat.CO · 2016 · author #5
9. Sequential Bayesian optimal experimental design via approximate dynamic programming stat.ME · 2016 · author #2
10. A continuous analogue of the tensor-train decomposition math.NA · 2015 · author #3
11. Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction stat.CO · 2015 · author #2
12. Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation cs.NA · 2015 · author #2
13. Dimension-independent likelihood-informed MCMC stat.CO · 2014 · author #3
14. Spectral tensor-train decomposition math.NA · 2014 · author #3
15. Likelihood-informed dimension reduction for nonlinear inverse problems stat.CO · 2014 · author #3
16. Data-Driven Model Reduction for the Bayesian Solution of Inverse Problems stat.CO · 2014 · author #2
17. Efficient Localization of Discontinuities in Complex Computational Simulations cs.CE · 2014 · author #2
18. Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations stat.ME · 2014 · author #2
19. Adaptive construction of surrogates for the Bayesian solution of inverse problems stat.CO · 2013 · author #2
20. Gradient-based stochastic optimization methods in Bayesian experimental design stat.CO · 2012 · author #2
21. Adaptive Smolyak Pseudospectral Approximations cs.NA · 2012 · author #2
22. Bayesian Inference with Optimal Maps stat.CO · 2011 · author #2
23. Simulation-based optimal Bayesian experimental design for nonlinear systems stat.ML · 2011 · author #2

Mentions

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Frequent Coauthors

• Tiangang Cui 5 shared papers
• Alex A. Gorodetsky 4 shared papers
• Xun Huan 3 shared papers
• Antti Solonen 2 shared papers
• Jinglai Li 2 shared papers
• Karen E. Willcox 2 shared papers
• Patrick R. Conrad 2 shared papers
• Sertac Karaman 2 shared papers
• Aaron Smith 1 shared papers
• Alessio Spantini 1 shared papers
• Allan P. Engsig-Karup 1 shared papers
• Ayoub Belhadji 1 shared papers
• Chi Feng 1 shared papers
• Daniele Bigoni 1 shared papers
• Daniel Sharp 1 shared papers
• Frederic J. N. Jorgensen 1 shared papers
• James Martin 1 shared papers
• Johnathan M. Bardsley 1 shared papers
• Kody J.H. Law 1 shared papers
• Matthias Morzfeld 1 shared papers