KAUST CEMSE AMCS STOCHNUM Nadhir Ben Rached

Nadhir Ben Rached

PhD Degree, Applied Mathematics and Computational Sciences
Alumni
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Multigrid Monte Carlo Revisited: Theory and Bayesian Inference
Professor Robert Scheichl, University of Heidelberg
Sunday, May 05, 11:00
- 12:00
Building 1, Level 3, Room 3119
Mathematics and Applications Colloquium
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Derivative-Free Global Minimization: Relaxation, Monte Carlo and Sampling
Diogo Gomes
Monday, November 27, 11:30
- 12:30
Building 9, Level 2, Room 2325, Hall 2
Graduate Seminar
KAUST-CEMSE-AMCS Mathematics and Applications ColloquiumSeminar Danniel Paulin Efficient MCMC Sampling Dimension Free Convergence
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
Daniel Paulin, Assistant Professor, School of Mathematics, University of Edinburgh.
Tuesday, September 20, 15:30
- 17:00
B1, L3, R3119
Mathematics and Applications Colloquium
KAUST CEMSE AMCS Seminar Sumeetpal Singh Monte Carlo based Inference for State-space Models
Monte Carlo based Inference for State-space Models
Sumeetpal Singh, Reader, Engineering Statistics, Department of Engineering, University of Cambridge
Sunday, January 31, 12:00
- 13:00
KAUST
Seminar